463 Research jobs in Stanford

Minimum qualifications:
+ PhD degree in Computer Science, a related field, or equivalent practical experience.
+ 2 years of experience leading a research agenda.
+ One or more scientific publication submission(s) for conferences, journals, or public repositories.
Preferred qualifications:
+ 2 years of coding experience.
+ 1 year of experience leading research efforts and influencing other researchers.
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google ( .
+ Author research papers to share and generate impact of research results across function and in the research community.
+ Help in growing research business by sharing research trends and best practices within the community.
+ Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
+ Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research.
+ Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

**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

**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

**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

**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

**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

**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

**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

Facilities Operations Program Manager - Mission Support, Laboratory and Research
Job ID
6457
Location
SLAC - Menlo Park, CA
Full-Time
Regular
**SLAC Job Postings**
**Position Overview**
SLAC's Facilities and Operations Division manages one of the world's premier science facilities on a 400+ acre Stanford site with 150+ structures for the Department of Energy. Our Facilities Building and Space Management team is seeking an energetic member with experience in Facility Management of multiple buildings with complex environments: office and laboratory space, critical data centers, old and new infrastructure. As a member of the Building and Space Management group you will work within a collaborative team, but with limited guidance, and will represent Facilities and Operations in a partnership supporting the Laboratory Science Directorates.
Members of this team are responsible for providing customer services for multiple Science Directorates in support of 1600+ staff and associated facilities. Work is typically comprised of 30% time contribution towards project leadership and team contribution, and 70% as a technical contributor working both in the field and in an office environment.
SLAC is a U.S. Department of Energy (DOE) laboratory operated by Stanford University and based in Menlo Park; CA.
**Your specific responsibilities include:**
+ Maintain high-level client relations with building occupants and Science Directorate Business Managers, representing all of Facilities and Operations.
+ Maintain excellent communication with building occupants, management, and support groups.
+ Coordinate facilities operations and engineering services and work independently to develop solutions for routine and urgent situations. Support activities such as engineering analysis, maintenance schedules, critical repair, and upgrades related to building equipment and systems.
+ Perform as operations and system engineering point of contact and technical expert for complex infrastructure systems engineering operations and services as defined above.
+ Support preventive maintenance plan by coordinating and integrating utility usage/optimization (monitor usage, gather info, provide recommendations, follow-up, shutdown requirements).
+ Initiate and coordinate work requests, monitor completion; monitor and manage maintenance budget; coordinate and monitor preventative and predictive maintenance activities, service calls and ensure services completion.
+ Assess metrics, monitor and report related trends; perform initial condition assessments of technical systems and equipment, or troubleshooting (formulated by Facilities Services manager, Engineer or another group), analyze test results and data, report status and provide recommendations.
+ Coordinate, direct, inspect and approve contract work, third party vendors; identify, recommend and implement process modifications for increased productivity and/or cost reduction, manage related budget; coordinate maintenance logistics.
+ Conduct duties as a project coordinate, including organization, scheduling, budgeting, and implementation. Participate in meetings to keep area manager and technical staff apprised of project progress, status, quality and schedule.
+ Enforce compliance with health and safety policies and procedures based on regulatory guidance. Assist with developing training manuals and safety guidelines, and train technical staff.
+ _Other duties may also be assigned._
**To be successful in this position you will bring:**
+ Associate degree in engineering or other appropriate technical area or related field with minimum seven years' of experience or a combination of education and relevant experience.
+ Experience applying facilities engineering principles and building/equipment maintenance practices to perform technical services and support.
+ Ability to coordinate daily activities including work scheduling, quality assurance, program validation, and monitoring of maintenance activities.
+ Demonstrated experience working with subcontractors/vendors and demonstrated ability to monitor project activities and ensure compliance with internal/external regulations.
+ Ability to write clear documentation, perform administrative duties involving facilities operations, engineering activities and projects.
+ Excellent written and verbal communication skills.
+ Strong presentation skills.
+ Demonstrated competency in computer operation including Microsoft Office suites including Word, Excel, PowerPoint, MS Project Schedule, Outlook, and SharePoint.
**Certifications and Licenses:**
+ A valid driver's license and a clean driving record.
**SLAC Competencies:**
+ Effective Decisions: Uses job knowledge and solid judgment to make quality decisions in a timely manner.
+ Self-Development: Pursues a variety of venues and opportunities to continue learning and developing.
+ Dependability: Can be counted on to deliver results with a sense of personal responsibility for expected outcomes.
+ Initiative: Pursues work and interactions proactively with optimism, positive energy, and motivation to move things forward.
+ Adaptability: Flexes as needed when change occurs, maintains an open outlook while adjusting and accommodating changes.
+ Communication: Ensures effective information flow to various audiences and creates and delivers clear, appropriate written, spoken, presented messages.
+ Relationships: Builds relationships to foster trust, collaboration, and a positive climate to achieve common goals.
**Physical Requirements and Working Conditions:**
+ _Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job._ May work extended hours during peak business cycles.
**Work Standards** :
+ Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
+ Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for environment, safety and security; communicates related concerns; uses and promotes safe behaviors based on training and lessons learned.Meets the applicable roles and responsibilities as described in the ESH Manual, Chapter 1 General Policy and Responsibilities: Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, **Classification Title** **: Facilities Engineering Associate 1**
+ **Grade** **: J** **Job code** **: 4358**
+ **Employment Duration** **: continuing**
The expected pay range for this position is $109,710 - $129,247 SLAC National Accelerator Laboratory/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.
SLAC National Accelerator Laboratory is an Affirmative Action / Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All staff at SLAC National Accelerator Laboratory must be able to demonstrate the legal right to work in the United States. SLAC is an E-Verify employer.