Research opportunities in the US offer a dynamic landscape for professionals seeking to advance their careers. With a focus on innovation and cutting-edge technology, the US is home to numerous research institutions and universities that provide a fertile ground for scientific exploration. Whether you're interested in 14,791 Research jobs in the United States
Research Scientist, Google Research
94039 Mountainview, California
Google
Posted 7 days ago
Job Viewed
Job Description
**Minimum qualifications:**
+ PhD degree in Computer Science, a related field, or equivalent practical experience.
+ Experience in coding with Python , JavaScript, R, Java, or C++.
+ Experience in generative AI training, Large Language Models and evaluation.
+ Publications in AI/ML conferences or journals, such as NeurIPS, ICML, ICLR, CVPR.
**Preferred qualifications:**
+ 2 years of coding experience in Python, JavaScript, R, Java, or C++.
+ 1 year of experience owning and initiating research agendas.
+ Experience in healthcare research.
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.
In this role, you will develop AI tools to advance third-party Health AI applications, conduct research, evaluate efficacy, release open models and engage the developer community through publications and events.
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 $141,000-$202,000 + 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 ( .
**Responsibilities:**
+ Write research papers to share findings and demonstrate research impact across the team and research community.
+ Help in growing research business across teams by sharing research trends and practices within the community.
+ Develop prototypes or run simulations to assess research impact, finalize hypotheses and refine methodologies under guidance.
+ Build end-to-end health-focused AI models including pre-training and post-training.
+ Evaluate AI models on relevant clinical tasks using both automated and human-based assessments.
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:
+ PhD degree in Computer Science, a related field, or equivalent practical experience.
+ Experience in coding with Python , JavaScript, R, Java, or C++.
+ Experience in generative AI training, Large Language Models and evaluation.
+ Publications in AI/ML conferences or journals, such as NeurIPS, ICML, ICLR, CVPR.
**Preferred qualifications:**
+ 2 years of coding experience in Python, JavaScript, R, Java, or C++.
+ 1 year of experience owning and initiating research agendas.
+ Experience in healthcare research.
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.
In this role, you will develop AI tools to advance third-party Health AI applications, conduct research, evaluate efficacy, release open models and engage the developer community through publications and events.
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 $141,000-$202,000 + 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 ( .
**Responsibilities:**
+ Write research papers to share findings and demonstrate research impact across the team and research community.
+ Help in growing research business across teams by sharing research trends and practices within the community.
+ Develop prototypes or run simulations to assess research impact, finalize hypotheses and refine methodologies under guidance.
+ Build end-to-end health-focused AI models including pre-training and post-training.
+ Evaluate AI models on relevant clinical tasks using both automated and human-based assessments.
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:
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0
Research Scientist
99811 Juneau, Alaska
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. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
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
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/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. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
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
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/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
62762 Springfield, Illinois
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. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
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
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/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. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
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
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/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
96823 Honolulu, Hawaii
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. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
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
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/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. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
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
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/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
19904 Rising Sun, Maryland
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. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
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
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/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. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
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
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/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
80238 Denver, Colorado
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. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
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
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/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. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
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
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/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
06132 Hartford, Connecticut
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. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
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
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/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. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
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
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/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
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6
Research Scientist
72205 Little Rock, Arkansas
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. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
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
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/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. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
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
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/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 Scientist
94278 Sacramento, 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. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
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
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/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. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
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
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/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
8
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 equivalent degree) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
12. Requires completion of one graduate-level course, one research project, or one internship involving each of the following skills:
13. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
14. 2. Machine learning, recommendation systems, ranking systems, computer vision, natural language processing, data mining, or distributed systems
15. 3. Translating insights into business recommendations
16. 4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
17. 5. Developing and debugging in C/C++ and Java
18. 6. Scripting languages such as Perl, Python, PHP, or shell scripts
19. 7. C, C++, C#, or Java
20. 8. Python, PHP, or Haskell
21. 9. Relational databases and SQL
22. 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
23. 11. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
24. 12. Building highly-scalable performant solutions
25. 13. Distributed systems including sharding, consistency, and availability
26. and 14. Data structures and algorithms
**Public Compensation:**
$222,489/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 Master's degree (or foreign equivalent degree) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
12. Requires completion of one graduate-level course, one research project, or one internship involving each of the following skills:
13. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
14. 2. Machine learning, recommendation systems, ranking systems, computer vision, natural language processing, data mining, or distributed systems
15. 3. Translating insights into business recommendations
16. 4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
17. 5. Developing and debugging in C/C++ and Java
18. 6. Scripting languages such as Perl, Python, PHP, or shell scripts
19. 7. C, C++, C#, or Java
20. 8. Python, PHP, or Haskell
21. 9. Relational databases and SQL
22. 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
23. 11. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
24. 12. Building highly-scalable performant solutions
25. 13. Distributed systems including sharding, consistency, and availability
26. and 14. Data structures and algorithms
**Public Compensation:**
$222,489/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
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