142 Nasa Ames Research Center jobs in Mountain View
Survey Center Research Scientist
94305 Stanford, California
Stanford University
Posted today
Job Viewed
Job Description
Survey Center Research Scientist
**School of Humanities and Sciences, Stanford, California, United States**
Administration
Post Date Jun 27, 2025
Requisition # 106759
_This position has been deemed critical by the School of Humanities and Sciences Dean's Office and is exempt from the hiring freeze._
The School of Humanities and Sciences (H&S) is the foundation of a liberal arts education at Stanford. The school encompasses 24 departments and 25 interdisciplinary programs. H&S is home to fundamental and applied research, where free, open, and critical inquiry is pursued across disciplines. As the university's largest school, H&S serves as the foundation of a Stanford undergraduate education no matter which discipline students pursue as a major. Graduate students work alongside world-renowned faculty to pursue and shape foundational research that leads to breakthroughs and discoveries that shed new light on the past, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day.
POSITION SUMMARY: Stanford's Institute for Research in the Social Sciences(IRiSS) seeks to hire a Survey Research Scientist (Academic Program Professional 2) to launch the Stanford Institute for Excellence in Survey Research (SIESR)focused on providing survey research guidance to the Stanford community and analyzing survey data and developing reports for the Public Pulse project,with the aim to support Stanford researchers in the study of human behavior andmeasurement of public opinion by facilitating survey research and securing grants; advancing survey methodology with the aim of producing more accurate and reliable surveys; and informing policy debates by disseminating findings not only to academics, but also to media, policymakers, and industry. These are exciting times for survey research across the social sciences, within academia and outside. Never before has so much survey research been done and has it had so much impact on academic scholarship, on government policymaking, and on business decision making. SIESR is committed to advancing the methods, credibility and understanding of the best practices in survey research.
This is an outstanding opportunity to be on the ground floor of an exciting and innovative new initiative at Stanford University. The position requires a person with a demonstrated ability to initiate, develop, and manage projects, and get things accomplished, who has training and experience in survey research and survey methods. This will be an extraordinary opportunity for someone who holds a strong commitment to the value of survey research in the nation's social and political discourse, who is immersed in the details and nuances of survey research and survey methods, and who relishes the chance to direct and manage a startup initiative, breaking new ground.
The position is responsible for working with Stanford faculty and graduate students on the designand fielding of surveys, and analysis of survey data. Additional critical components of the job will include: identifying surveys done with high quality methods; overseeing the development and management of a set of dynamic databases on American public opinion, in keeping with current standards and best practices in open science; sourcing or building systems for monitoring and analyzing incoming data on a continuous basis; anddeveloping narratives and visual representations that summarize the results, suitable for presentationto academic and non-academic audiences.
The job also involves writing and editing content for proposals, peer-reviewed publications, and other program activities under the general direction of the faculty director, institute director and advisory board leadership. The incumbent will assist with the development of research grants, including exploring new funding opportunities, writing portions of the grant proposals, and summarizing data needs and data findings.
Qualified applicants should be able to demonstrate experience in these areas
+ Successfully spearheading new, long-term research-oriented initiatives
+ Project management, from start to successful completion
+ Familiarity with the numerous sources of public opinion data in America
+ Ability to manage the electronic collection and vetting of survey results
+ Familiarity with the questionnaire design literature
+ Clarity and efficiency in describing survey results and producing written reports
This is a 100% FTE, exempt position for a two-year term, with the possibility of extension based on funding and performance. The position is eligible for a full range of benefits. This position will be based on the Stanford campus and is eligible for a hybrid schedule, based on organizational need.
If you believe that this opportunity is a match for your knowledge, skills and abilities, we encourage you to apply. Thank you for considering employment opportunities with the School of Humanities and Sciences.
CORE DUTIES
+ Consult with faculty and students on the design and administration of surveys and analysis of data,including support for proposal development that includes a survey research component.
+ Source, collect and analyze data.This work includes (1) writing scripts in order to produce efficient, documented and reproducible methods of data collection, (2) creating databases where the data is held and made publicly available.
+ Develop a list of tip sheets on best practices for survey research, and promote awareness of this information to the research community.
+ Write and edit complex content for proposals, peer-reviewed publications, and other program activities under the general direction of PI. Assist with the development of research grants, (i.e., may suggest new funding opportunities, write portions of grants, and/or summarize data for grant support).
+ Contribute to and inform strategic program planning and related funding and financial sustainability.
+ Develop and manage research activities, making recommendations that impact policies and programs, and coordinating and implementing changes.
+ Identify, recommend and implement opportunities for new research.
+ Represent the program or function as the key contact and subject matter expert within the department, unit or school and develop communications for internal and external constituencies. Organize and/or participate in outreach activities such as events, partnerships, fundraising, training, and conferences. Lead workshops and facilitate meetings
+ Monitor expenses, budgets, and finances of the program. Make recommendations on funding based on program spending.
EDUCATION AND EXPERIENCE:
A PhD in a social science, with a particular emphasis on and experience in survey research and survey methods is highly preferred. Program administration and research experience are required.
KNOWLEDGE, SKILLS AND ABILITIES
+ Entrepreneurship, managing, and enthusiasm for the development of a new venture
+ Data engineering, automation & packaging
+ Scientific computing, open science & FAIR Data principles
+ Data management, analysis, and wrangling
+ Demonstrated oral, written, and analytical skills, exhibiting fluency in area of specialization.
+ Ability to oversee and provide basic direction to staff.
Highly desired knowledge, skills and abilities include:
+ Academic interest in advancing the frontiers of survey methodology
The expected pay range for this position is $116,966 to $150,114 per annum.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
**W** **hy Stanford is for You**
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:
+ Freedom to grow. We offer career development programs, tuition reimbursement, and opportunities to audit courses. Join a film screening or listen to a renowned author or global leader speak.
+ A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
+ A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
+ Discovery and fun. Stroll through historic sculptures, trails, and museums.
+ Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more!
_The job duties listed are typical examples of work performed by positions in this job classifications and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned_
_Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at_ _. For all other inquiries, please submit a contact form._
_Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law._
Additional Information
+ **Schedule: Full-time**
+ **Job Code: 4112**
+ **Employee Status: Fixed-Term**
+ **Grade: J**
+ **Requisition ID: 106759**
+ **Work Arrangement : Hybrid Eligible**
**School of Humanities and Sciences, Stanford, California, United States**
Administration
Post Date Jun 27, 2025
Requisition # 106759
_This position has been deemed critical by the School of Humanities and Sciences Dean's Office and is exempt from the hiring freeze._
The School of Humanities and Sciences (H&S) is the foundation of a liberal arts education at Stanford. The school encompasses 24 departments and 25 interdisciplinary programs. H&S is home to fundamental and applied research, where free, open, and critical inquiry is pursued across disciplines. As the university's largest school, H&S serves as the foundation of a Stanford undergraduate education no matter which discipline students pursue as a major. Graduate students work alongside world-renowned faculty to pursue and shape foundational research that leads to breakthroughs and discoveries that shed new light on the past, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day.
POSITION SUMMARY: Stanford's Institute for Research in the Social Sciences(IRiSS) seeks to hire a Survey Research Scientist (Academic Program Professional 2) to launch the Stanford Institute for Excellence in Survey Research (SIESR)focused on providing survey research guidance to the Stanford community and analyzing survey data and developing reports for the Public Pulse project,with the aim to support Stanford researchers in the study of human behavior andmeasurement of public opinion by facilitating survey research and securing grants; advancing survey methodology with the aim of producing more accurate and reliable surveys; and informing policy debates by disseminating findings not only to academics, but also to media, policymakers, and industry. These are exciting times for survey research across the social sciences, within academia and outside. Never before has so much survey research been done and has it had so much impact on academic scholarship, on government policymaking, and on business decision making. SIESR is committed to advancing the methods, credibility and understanding of the best practices in survey research.
This is an outstanding opportunity to be on the ground floor of an exciting and innovative new initiative at Stanford University. The position requires a person with a demonstrated ability to initiate, develop, and manage projects, and get things accomplished, who has training and experience in survey research and survey methods. This will be an extraordinary opportunity for someone who holds a strong commitment to the value of survey research in the nation's social and political discourse, who is immersed in the details and nuances of survey research and survey methods, and who relishes the chance to direct and manage a startup initiative, breaking new ground.
The position is responsible for working with Stanford faculty and graduate students on the designand fielding of surveys, and analysis of survey data. Additional critical components of the job will include: identifying surveys done with high quality methods; overseeing the development and management of a set of dynamic databases on American public opinion, in keeping with current standards and best practices in open science; sourcing or building systems for monitoring and analyzing incoming data on a continuous basis; anddeveloping narratives and visual representations that summarize the results, suitable for presentationto academic and non-academic audiences.
The job also involves writing and editing content for proposals, peer-reviewed publications, and other program activities under the general direction of the faculty director, institute director and advisory board leadership. The incumbent will assist with the development of research grants, including exploring new funding opportunities, writing portions of the grant proposals, and summarizing data needs and data findings.
Qualified applicants should be able to demonstrate experience in these areas
+ Successfully spearheading new, long-term research-oriented initiatives
+ Project management, from start to successful completion
+ Familiarity with the numerous sources of public opinion data in America
+ Ability to manage the electronic collection and vetting of survey results
+ Familiarity with the questionnaire design literature
+ Clarity and efficiency in describing survey results and producing written reports
This is a 100% FTE, exempt position for a two-year term, with the possibility of extension based on funding and performance. The position is eligible for a full range of benefits. This position will be based on the Stanford campus and is eligible for a hybrid schedule, based on organizational need.
If you believe that this opportunity is a match for your knowledge, skills and abilities, we encourage you to apply. Thank you for considering employment opportunities with the School of Humanities and Sciences.
CORE DUTIES
+ Consult with faculty and students on the design and administration of surveys and analysis of data,including support for proposal development that includes a survey research component.
+ Source, collect and analyze data.This work includes (1) writing scripts in order to produce efficient, documented and reproducible methods of data collection, (2) creating databases where the data is held and made publicly available.
+ Develop a list of tip sheets on best practices for survey research, and promote awareness of this information to the research community.
+ Write and edit complex content for proposals, peer-reviewed publications, and other program activities under the general direction of PI. Assist with the development of research grants, (i.e., may suggest new funding opportunities, write portions of grants, and/or summarize data for grant support).
+ Contribute to and inform strategic program planning and related funding and financial sustainability.
+ Develop and manage research activities, making recommendations that impact policies and programs, and coordinating and implementing changes.
+ Identify, recommend and implement opportunities for new research.
+ Represent the program or function as the key contact and subject matter expert within the department, unit or school and develop communications for internal and external constituencies. Organize and/or participate in outreach activities such as events, partnerships, fundraising, training, and conferences. Lead workshops and facilitate meetings
+ Monitor expenses, budgets, and finances of the program. Make recommendations on funding based on program spending.
EDUCATION AND EXPERIENCE:
A PhD in a social science, with a particular emphasis on and experience in survey research and survey methods is highly preferred. Program administration and research experience are required.
KNOWLEDGE, SKILLS AND ABILITIES
+ Entrepreneurship, managing, and enthusiasm for the development of a new venture
+ Data engineering, automation & packaging
+ Scientific computing, open science & FAIR Data principles
+ Data management, analysis, and wrangling
+ Demonstrated oral, written, and analytical skills, exhibiting fluency in area of specialization.
+ Ability to oversee and provide basic direction to staff.
Highly desired knowledge, skills and abilities include:
+ Academic interest in advancing the frontiers of survey methodology
The expected pay range for this position is $116,966 to $150,114 per annum.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
**W** **hy Stanford is for You**
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:
+ Freedom to grow. We offer career development programs, tuition reimbursement, and opportunities to audit courses. Join a film screening or listen to a renowned author or global leader speak.
+ A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
+ A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
+ Discovery and fun. Stroll through historic sculptures, trails, and museums.
+ Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more!
_The job duties listed are typical examples of work performed by positions in this job classifications and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned_
_Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at_ _. For all other inquiries, please submit a contact form._
_Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law._
Additional Information
+ **Schedule: Full-time**
+ **Job Code: 4112**
+ **Employee Status: Fixed-Term**
+ **Grade: J**
+ **Requisition ID: 106759**
+ **Work Arrangement : Hybrid Eligible**
View Now
0
Research Scientist
94025 Menlo Park, California
Meta
Posted today
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
11. Develop ML techniques on feature/data/architecture track to improve performance of ads ranking models.
12. Monitor the ML system health (prediction, model staleness, calibration) and fix potential issues.
13. Coordinate and align on the plan for ML model iteration as a model owner and maintain centralized online modeling experiments.
**Minimum Qualifications:**
Minimum Qualifications:
14. Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
15. Requires completion of a university-level course, research project, internship, or thesis in the following:
16. 1. Algorithms, data structures, or systems software
17. 2. Solving analytical problems using quantitative approaches
18. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
19. 4. Communicating complex research in a clear, precise, and actionable manner
20. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
21. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
22. 7. Devising better data-driven models of human behavior
23. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
24. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
25. 10. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$218,402/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
11. Develop ML techniques on feature/data/architecture track to improve performance of ads ranking models.
12. Monitor the ML system health (prediction, model staleness, calibration) and fix potential issues.
13. Coordinate and align on the plan for ML model iteration as a model owner and maintain centralized online modeling experiments.
**Minimum Qualifications:**
Minimum Qualifications:
14. Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
15. Requires completion of a university-level course, research project, internship, or thesis in the following:
16. 1. Algorithms, data structures, or systems software
17. 2. Solving analytical problems using quantitative approaches
18. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
19. 4. Communicating complex research in a clear, precise, and actionable manner
20. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
21. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
22. 7. Devising better data-driven models of human behavior
23. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
24. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
25. 10. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$218,402/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
1
Research Scientist
94025 Menlo Park, California
Meta
Posted today
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Ph.D degree (or foreign equivalent) in Computer Science, Electrical Engineering, Computer Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field.
12. Requires completion of a university-level course, research project, internship, or thesis in the following:
13. 1. Algorithms, data structures, or systems software
14. 2. Solving analytical problems using quantitative approaches
15. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 4. Communicating complex research in a clear, precise, and actionable manner
17. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
18. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
19. 7. Devising better data-driven models of human behavior
20. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
21. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
22. 10. Java, C++, Perl, PHP, or Python.
**Public Compensation:**
$221,024/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Ph.D degree (or foreign equivalent) in Computer Science, Electrical Engineering, Computer Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field.
12. Requires completion of a university-level course, research project, internship, or thesis in the following:
13. 1. Algorithms, data structures, or systems software
14. 2. Solving analytical problems using quantitative approaches
15. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 4. Communicating complex research in a clear, precise, and actionable manner
17. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
18. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
19. 7. Devising better data-driven models of human behavior
20. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
21. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
22. 10. Java, C++, Perl, PHP, or Python.
**Public Compensation:**
$221,024/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
2
Research Scientist
94025 Menlo Park, California
Meta
Posted today
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Master's degree in Computer Science, Engineering, Analytics, Mathematics or a related field. Foreign degree equivalent accepted
12. Requires 3 months experience in job offered or in a related occupation
13. Experience must include 3 months involving the following:
14. 1. Algorithms, data structures, or systems software
15. 2. Research in machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
16. 3. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
17. 4. Devising data-driven models of human behavior
18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
19. 6. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
**Public Compensation:**
$226,929/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Master's degree in Computer Science, Engineering, Analytics, Mathematics or a related field. Foreign degree equivalent accepted
12. Requires 3 months experience in job offered or in a related occupation
13. Experience must include 3 months involving the following:
14. 1. Algorithms, data structures, or systems software
15. 2. Research in machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
16. 3. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
17. 4. Devising data-driven models of human behavior
18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
19. 6. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
**Public Compensation:**
$226,929/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
3
Research Scientist
94025 Menlo Park, California
Meta
Posted today
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Research, identify, and analyze data and data patterns.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of company platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system-engineering and business intelligence standpoint.
**Minimum Qualifications:**
Minimum Qualifications:
9. Requires a Master's degree (Or Foreign Degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Computational Sciences, or a related field. Requires completion of a graduate-level course, research project, or internship in following:
10. 1. Algorithms, data structures, or systems software
11. 2. Solving analytical problems using quantitative approaches
12. 3. Gathering, manipulating, or analyzing complex, high-volume and dimensionality data from varying sources
13. 4. Communicating complex data research in a clear, precise, and actionable manner
14. 5. Researching topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
15. 6. Performing research that enables learning the semantics of data such as images, video, text, audio, or other modalities, and also advances the technology of intelligent machines
16. 7. Devising better data-driven models of human behavior
17. 8. Adapting standard machine learning methods to best enterprise modern parallel environments like distributed clusters, multicore SMP, or GPU
18. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
19. 10. Java, C++, Perl, PHP, or Python.
**Public Compensation:**
$214,032/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Research, identify, and analyze data and data patterns.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of company platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system-engineering and business intelligence standpoint.
**Minimum Qualifications:**
Minimum Qualifications:
9. Requires a Master's degree (Or Foreign Degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Computational Sciences, or a related field. Requires completion of a graduate-level course, research project, or internship in following:
10. 1. Algorithms, data structures, or systems software
11. 2. Solving analytical problems using quantitative approaches
12. 3. Gathering, manipulating, or analyzing complex, high-volume and dimensionality data from varying sources
13. 4. Communicating complex data research in a clear, precise, and actionable manner
14. 5. Researching topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
15. 6. Performing research that enables learning the semantics of data such as images, video, text, audio, or other modalities, and also advances the technology of intelligent machines
16. 7. Devising better data-driven models of human behavior
17. 8. Adapting standard machine learning methods to best enterprise modern parallel environments like distributed clusters, multicore SMP, or GPU
18. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
19. 10. Java, C++, Perl, PHP, or Python.
**Public Compensation:**
$214,032/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
4
Research Scientist
94086 Sunnyvale, California
Meta
Posted today
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Doctorate degree (or foreign degree equivalent) in Data Science, Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
12. Requires completion of a university-level course, research project, internship, or thesis in the following:
13. 1. Algorithms, data structures, or systems software
14. 2. Solving analytical problems using quantitative approaches
15. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 4. Communicating complex research in a clear, precise, and actionable manner
17. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
18. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
19. 7. Devising better data-driven models of human behavior
20. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
21. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
22. 10. Java, C++, Perl, PHP, or Python.
**Public Compensation:**
$214,032/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Doctorate degree (or foreign degree equivalent) in Data Science, Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
12. Requires completion of a university-level course, research project, internship, or thesis in the following:
13. 1. Algorithms, data structures, or systems software
14. 2. Solving analytical problems using quantitative approaches
15. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 4. Communicating complex research in a clear, precise, and actionable manner
17. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
18. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
19. 7. Devising better data-driven models of human behavior
20. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
21. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
22. 10. Java, C++, Perl, PHP, or Python.
**Public Compensation:**
$214,032/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
5
Research Scientist
94025 Menlo Park, California
Meta
Posted today
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field and two years of work experience in job offered or computer-related occupation.
12. Requires two years of experience in the following:
13. 1. Algorithms, data structures, or systems software
14. 2. Solving analytical problems using quantitative approaches
15. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 4. Communicating complex research in a clear, precise, and actionable manner
17. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
18. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
19. 7. Devising better data-driven models of human behavior
20. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
21. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models and
22. 10. Java, C++, Perl, PHP, or Python.
**Public Compensation:**
$263,803/year to $290,180/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field and two years of work experience in job offered or computer-related occupation.
12. Requires two years of experience in the following:
13. 1. Algorithms, data structures, or systems software
14. 2. Solving analytical problems using quantitative approaches
15. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 4. Communicating complex research in a clear, precise, and actionable manner
17. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
18. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
19. 7. Devising better data-driven models of human behavior
20. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
21. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models and
22. 10. Java, C++, Perl, PHP, or Python.
**Public Compensation:**
$263,803/year to $290,180/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
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6
Research Scientist
94025 Menlo Park, California
Meta
Posted today
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
10. Exercise judgment within defined procedures and practices to determine appropriate action.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a PhD in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field. Foreign equivalent accepted.
12. Requires and completion of a graduate-level course, research project, or internship involving the following:
13. 1. Algorithms, data structures, or systems software
14. 2. Solving analytical problems using quantitative approaches
15. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 4. Communicating complex research in a clear, precise, and actionable manner
17. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
18. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
19. 7. Devising better data-driven models of human behavior
20. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
21. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models and
22. 10. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$214,032/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
10. Exercise judgment within defined procedures and practices to determine appropriate action.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a PhD in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field. Foreign equivalent accepted.
12. Requires and completion of a graduate-level course, research project, or internship involving the following:
13. 1. Algorithms, data structures, or systems software
14. 2. Solving analytical problems using quantitative approaches
15. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 4. Communicating complex research in a clear, precise, and actionable manner
17. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
18. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
19. 7. Devising better data-driven models of human behavior
20. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
21. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models and
22. 10. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$214,032/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
7
Research Data Center Facility Engineer
94305 Stanford, California
Stanford University
Posted today
Job Viewed
Job Description
Research Data Center Facility Engineer
**Business Affairs: University IT (UIT), Stanford, California, United States**
**New**
Facilities
Post Date 12 hours ago
Requisition # 106872
_The expected pay range for this position is $150,000 to $160,000 per annum._
_Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs._
_At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (_ _ _) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process._
Stanford Research Computing is looking for an experienced facility engineer to join our team. Our sta? work directly with some of the world's top researchers in a broad range of disciplines, across Stanford's seven schools - while also supporting and learning from each other in cross-project endeavors. We maintain and manage several advanced research computing facilities, and we support a variety of environments for Stanford research. In Stanford Research Computing, you'll have a rare opportunity to contribute to discoveries and inventions that have global reach and positive impact, and to share in the curiosity and commitment of the scholars and scientists who lead these projects.
This position, reporting to the Research Computing Data Center Manager, will provide facility engineering support for data centers under the management of Stanford Research Computing. Research Computing o?ers High Performance Computing (HPC) hosting services, computational and data systems, services, and support for researchers from a variety of Stanford and SLAC organizations.
The majority of the HPC systems are hosted in the Stanford Research Computing Facility (SRCF), located on the SLAC campus, a modular facility designed to accommodate high density computational infrastructure. The Facilities Engineer will assist in the operation of both sites, monitoring temperatures, facilitating deliveries, racking servers, and storage devices, troubleshooting and repairing servers, installing network wiring, and installing, and securing racks. This position will also provide backup to an existing Facilities Engineer position as needed. It may occasionally be responsible for interfacing with vendors, for installations, equipment repairs, and maintenance.
**Core Duties**
+ Ensure ongoing production facility operation to maximize the reliability, dependability, and availability of it, and the systems hosted therein. Verify that all systems are operating e?ciently.
+ Monitor and observe the operation of mechanical, and electrical systems on a daily basis
+ Perform regular physical inspections of all systems, looking for abnormal noises, ?uid leaks, air leakage, etc.
+ Inspect PDUs and electrical meters, for alarms, abnormal current, and voltage levels.
+ Initiate corrective action following standard operating procedures as established by manager
+ Serve as an expert, providing design and technical recommendations in areas of specialization. This includes interfacing and coordination with and across specialties and disciplines.
+ Work with groups or individual researchers from Stanford, Stanford Medicine, and SLAC who have equipment hosted at SRCF to ensure safe facility operation and standards are met.
+ Respond to and address facility problems as directed by the data center manager. This will require occasional in-person responses outside normal working hours.
+ Identify and resolve complex technical systems issues that may have high risk/consequences of failure.
+ Review and analyze projects' technical plans and speci?cations for conformance with design guidelines and other related criteria, and pertinent codes and standards
+ Serve as a technical lead on assigned projects in areas of expertise across multiple contractor activities, through all project phases.
+ Conduct risk assessments and develop contingency plans
**Minimum Requirements**
**Education and Experience**
+ Bachelor's degree in relevant discipline and ten years of relevant work experience, or a combination of education and relevant experience.
**Knowledge, Skills, and Abilities**
The following are required for this role:
+ Strong interpersonal skills
+ Demonstrated breadth of understanding of electrical and mechanical systems found in a data center environment such as: Power distribution systems, UPS, Variable Frequency Drives, Generators, Air Handlers, Chillers, PLC's, etc.
+ Knowledge and pro?ciency with engineering software related to assignment, speci?cally Building Control and Monitoring Systems
+ Deep technical knowledge in area of expertise
+ Strong customer service focus
+ Excellent project management skills
+ Excellent written and oral communication skills
+ General use of hand tools (ie, electrical meters)
+ Demonstrated pro?ciency using o?ce productivity tools including Google docs and sheets, Zoom and Slack
+ Working knowledge of computer systems
+ Ability to identify and mitigate potential project risk components
**Highly desirable knowledge, skills and abilities include:**
+ Data Center certi?cations such as: CDCP - Certi?ed Data Center Professional, Certi?ed Data Center Management Professional (CDCM), Certi?ed Data Center Technician Professional (CDCTP), or Data Center Energy Practitioner (DECP).
+ Understanding of the basics of high performance computing and associated networking features and functions.
**Certi?cations and Licenses:**
+ Data center operation certi?cation is highly desired; see above.
**Physical Requirements**
+ Occasionally sitting, performing desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds.
+ Routinely stand/walk, twist/bend/stoop/squat, grasp lightly/?ne manipulation, use a telephone, lift/carry/push/pull objects that weigh from 11 to 60 pounds,
+ Frequently kneel/crawl, climb (ladders, sca?olds, or other), reach/work above shoulders, grasp forcefully, writing by hand, sort/?le paperwork or parts, lift/carry/push/pull objects that weigh >40 pounds.
**Working Conditions**
+ Requires 24-hour response availability seven days per week for emergency situations. You must be able to travel to the data center facilities from your place of residence within 45 minutes.
+ Expected to work an 8-5 or 8:30 - 5:30 schedule
+ Requires after hours and weekend work on occasion for emergency situations, planned maintenance and/or project-related activities.
+ May be exposed to noise > 80 decibels.
+ May work at heights 4 - 10 ft.
**Work Standards**
+ Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues, clients, and with external organizations.
+ Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
+ Subject to and expected to comply with all applicable University and unit policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, Stanford is for You**
Imagine a world without search engines or social platforms. Consider lives saved through ?rst-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 sta. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:
+ **Freedom to grow** . We o?er career development programs, tuition reimbursement, or course auditing. Join a TedTalk, ?lm screening, or listen to a renowned author or global leader speak.
+ **A caring culture** . We provide superb retirement plans, generous time-o?, and family care resources.
+ **A healthier you** . Climb our rock wall or choose from hundreds of health or ?tness classes at our world- class exercise facilities. We also provide excellent health care bene?ts.
+ **Discovery and fun** . Stroll through historic sculptures, trails, and museums.
+ **Enviable resources** . Enjoy free commuter programs, ridesharing incentives, discounts and more!
Additional Information
+ **Schedule: Full-time**
+ **Job Code: 4353**
+ **Employee Status: Regular**
+ **Grade: K**
+ **Requisition ID: 106872**
+ **Work Arrangement : On Site**
**Business Affairs: University IT (UIT), Stanford, California, United States**
**New**
Facilities
Post Date 12 hours ago
Requisition # 106872
_The expected pay range for this position is $150,000 to $160,000 per annum._
_Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs._
_At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (_ _ _) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process._
Stanford Research Computing is looking for an experienced facility engineer to join our team. Our sta? work directly with some of the world's top researchers in a broad range of disciplines, across Stanford's seven schools - while also supporting and learning from each other in cross-project endeavors. We maintain and manage several advanced research computing facilities, and we support a variety of environments for Stanford research. In Stanford Research Computing, you'll have a rare opportunity to contribute to discoveries and inventions that have global reach and positive impact, and to share in the curiosity and commitment of the scholars and scientists who lead these projects.
This position, reporting to the Research Computing Data Center Manager, will provide facility engineering support for data centers under the management of Stanford Research Computing. Research Computing o?ers High Performance Computing (HPC) hosting services, computational and data systems, services, and support for researchers from a variety of Stanford and SLAC organizations.
The majority of the HPC systems are hosted in the Stanford Research Computing Facility (SRCF), located on the SLAC campus, a modular facility designed to accommodate high density computational infrastructure. The Facilities Engineer will assist in the operation of both sites, monitoring temperatures, facilitating deliveries, racking servers, and storage devices, troubleshooting and repairing servers, installing network wiring, and installing, and securing racks. This position will also provide backup to an existing Facilities Engineer position as needed. It may occasionally be responsible for interfacing with vendors, for installations, equipment repairs, and maintenance.
**Core Duties**
+ Ensure ongoing production facility operation to maximize the reliability, dependability, and availability of it, and the systems hosted therein. Verify that all systems are operating e?ciently.
+ Monitor and observe the operation of mechanical, and electrical systems on a daily basis
+ Perform regular physical inspections of all systems, looking for abnormal noises, ?uid leaks, air leakage, etc.
+ Inspect PDUs and electrical meters, for alarms, abnormal current, and voltage levels.
+ Initiate corrective action following standard operating procedures as established by manager
+ Serve as an expert, providing design and technical recommendations in areas of specialization. This includes interfacing and coordination with and across specialties and disciplines.
+ Work with groups or individual researchers from Stanford, Stanford Medicine, and SLAC who have equipment hosted at SRCF to ensure safe facility operation and standards are met.
+ Respond to and address facility problems as directed by the data center manager. This will require occasional in-person responses outside normal working hours.
+ Identify and resolve complex technical systems issues that may have high risk/consequences of failure.
+ Review and analyze projects' technical plans and speci?cations for conformance with design guidelines and other related criteria, and pertinent codes and standards
+ Serve as a technical lead on assigned projects in areas of expertise across multiple contractor activities, through all project phases.
+ Conduct risk assessments and develop contingency plans
**Minimum Requirements**
**Education and Experience**
+ Bachelor's degree in relevant discipline and ten years of relevant work experience, or a combination of education and relevant experience.
**Knowledge, Skills, and Abilities**
The following are required for this role:
+ Strong interpersonal skills
+ Demonstrated breadth of understanding of electrical and mechanical systems found in a data center environment such as: Power distribution systems, UPS, Variable Frequency Drives, Generators, Air Handlers, Chillers, PLC's, etc.
+ Knowledge and pro?ciency with engineering software related to assignment, speci?cally Building Control and Monitoring Systems
+ Deep technical knowledge in area of expertise
+ Strong customer service focus
+ Excellent project management skills
+ Excellent written and oral communication skills
+ General use of hand tools (ie, electrical meters)
+ Demonstrated pro?ciency using o?ce productivity tools including Google docs and sheets, Zoom and Slack
+ Working knowledge of computer systems
+ Ability to identify and mitigate potential project risk components
**Highly desirable knowledge, skills and abilities include:**
+ Data Center certi?cations such as: CDCP - Certi?ed Data Center Professional, Certi?ed Data Center Management Professional (CDCM), Certi?ed Data Center Technician Professional (CDCTP), or Data Center Energy Practitioner (DECP).
+ Understanding of the basics of high performance computing and associated networking features and functions.
**Certi?cations and Licenses:**
+ Data center operation certi?cation is highly desired; see above.
**Physical Requirements**
+ Occasionally sitting, performing desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds.
+ Routinely stand/walk, twist/bend/stoop/squat, grasp lightly/?ne manipulation, use a telephone, lift/carry/push/pull objects that weigh from 11 to 60 pounds,
+ Frequently kneel/crawl, climb (ladders, sca?olds, or other), reach/work above shoulders, grasp forcefully, writing by hand, sort/?le paperwork or parts, lift/carry/push/pull objects that weigh >40 pounds.
**Working Conditions**
+ Requires 24-hour response availability seven days per week for emergency situations. You must be able to travel to the data center facilities from your place of residence within 45 minutes.
+ Expected to work an 8-5 or 8:30 - 5:30 schedule
+ Requires after hours and weekend work on occasion for emergency situations, planned maintenance and/or project-related activities.
+ May be exposed to noise > 80 decibels.
+ May work at heights 4 - 10 ft.
**Work Standards**
+ Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues, clients, and with external organizations.
+ Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
+ Subject to and expected to comply with all applicable University and unit policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, Stanford is for You**
Imagine a world without search engines or social platforms. Consider lives saved through ?rst-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 sta. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:
+ **Freedom to grow** . We o?er career development programs, tuition reimbursement, or course auditing. Join a TedTalk, ?lm screening, or listen to a renowned author or global leader speak.
+ **A caring culture** . We provide superb retirement plans, generous time-o?, and family care resources.
+ **A healthier you** . Climb our rock wall or choose from hundreds of health or ?tness classes at our world- class exercise facilities. We also provide excellent health care bene?ts.
+ **Discovery and fun** . Stroll through historic sculptures, trails, and museums.
+ **Enviable resources** . Enjoy free commuter programs, ridesharing incentives, discounts and more!
Additional Information
+ **Schedule: Full-time**
+ **Job Code: 4353**
+ **Employee Status: Regular**
+ **Grade: K**
+ **Requisition ID: 106872**
+ **Work Arrangement : On Site**
View Now
8
Principal Research Scientist
94039 Mountainview, California
Intuit
Posted today
Job Viewed
Job Description
**Overview**
Intuit is hiring a Principal AI Researcher to join the Intuit Research team.
The mission of the AI Research team is to do cutting edge research in AI topics that directly influence Intuit's portfolio of fintech offerings and position Intuit as a global leader in AI with the goal of powering prosperity around the world. In this role you will be advancing the state of the art in fundamentals of artificial intelligence. We are seeking candidates who are experts in generative AI, fundamentals of deep learning and optimization, and passionate about areas such as neuro-symbolic AI, personalization and recommendation, theory and applications of large language models, and robustness and uncertainty quantification. You will join a high-caliber team of domain experts, data scientists, and machine learning engineers to shape our strategy in this area, and develop advanced capabilities that serve our customers' needs, both current and future.
**What you'll bring**
+ PhD in Computer Science/Electrical Engineering/Statistics/Applied Mathematics or a related field with focus on AI/ML
+ 7+ years of relevant work experience post PhD
+ Past experience leading a research or applied research team
+ Established track record of publication, ideally demonstrated through first author publications in top tier AI conferences ( e.g. NeurIPS, ICML, KDD, ACL, AAAI)
+ 10+ years experience in conducting theoretical or applied research with demonstrated capability of defining and driving research projects
+ Past experience in disseminating new technical ideas to the larger scientific community through open sourcing, publications, and presentations
+ Experience with developing and debugging in Python with Tensorflow, Pytorch, or similar frameworks
+ Deep technical expertise in machine learning in general, along with hands-on experience in either deep NLP architectures, neuro-symbolic AI, or robust and/or explainable AI
+ Excited about the future of Money, Payments, FinTech, and the transformation these technologies will drive
+ Strong interpersonal and communication skills in order to effectively communicate and/or collaborate with other team members as well as product technologists and other stakeholders
+ Excellent leadership and communication skills to influence teams and to evangelize research solutions across the company
**How you will lead**
+ Technical leadership in areas of Language Agents, Neuro Symbolic AI, Multimodal and Large Language Models, Natural Language Processing, Deep Learning, and Machine Learning.
+ Pushing boundaries of AI native fintech applications through innovation and partnership.
+ Engaging with the academic and broader research community through publications, presentations, and collaborations.
+ Working towards long-term ambitious research goals that are in alignment with Intuit products, while identifying intermediate milestones
+ Working with a cross-functional team of designers, program managers, researchers, legal experts and more, to create new capabilities for current and future products
+ Mentoring junior researchers and interns through goal setting and technical directions that lead to positive outcomes
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Intuit is hiring a Principal AI Researcher to join the Intuit Research team.
The mission of the AI Research team is to do cutting edge research in AI topics that directly influence Intuit's portfolio of fintech offerings and position Intuit as a global leader in AI with the goal of powering prosperity around the world. In this role you will be advancing the state of the art in fundamentals of artificial intelligence. We are seeking candidates who are experts in generative AI, fundamentals of deep learning and optimization, and passionate about areas such as neuro-symbolic AI, personalization and recommendation, theory and applications of large language models, and robustness and uncertainty quantification. You will join a high-caliber team of domain experts, data scientists, and machine learning engineers to shape our strategy in this area, and develop advanced capabilities that serve our customers' needs, both current and future.
**What you'll bring**
+ PhD in Computer Science/Electrical Engineering/Statistics/Applied Mathematics or a related field with focus on AI/ML
+ 7+ years of relevant work experience post PhD
+ Past experience leading a research or applied research team
+ Established track record of publication, ideally demonstrated through first author publications in top tier AI conferences ( e.g. NeurIPS, ICML, KDD, ACL, AAAI)
+ 10+ years experience in conducting theoretical or applied research with demonstrated capability of defining and driving research projects
+ Past experience in disseminating new technical ideas to the larger scientific community through open sourcing, publications, and presentations
+ Experience with developing and debugging in Python with Tensorflow, Pytorch, or similar frameworks
+ Deep technical expertise in machine learning in general, along with hands-on experience in either deep NLP architectures, neuro-symbolic AI, or robust and/or explainable AI
+ Excited about the future of Money, Payments, FinTech, and the transformation these technologies will drive
+ Strong interpersonal and communication skills in order to effectively communicate and/or collaborate with other team members as well as product technologists and other stakeholders
+ Excellent leadership and communication skills to influence teams and to evangelize research solutions across the company
**How you will lead**
+ Technical leadership in areas of Language Agents, Neuro Symbolic AI, Multimodal and Large Language Models, Natural Language Processing, Deep Learning, and Machine Learning.
+ Pushing boundaries of AI native fintech applications through innovation and partnership.
+ Engaging with the academic and broader research community through publications, presentations, and collaborations.
+ Working towards long-term ambitious research goals that are in alignment with Intuit products, while identifying intermediate milestones
+ Working with a cross-functional team of designers, program managers, researchers, legal experts and more, to create new capabilities for current and future products
+ Mentoring junior researchers and interns through goal setting and technical directions that lead to positive outcomes
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
View Now
9