168 Research Scientist jobs in Palo Alto
Co-founder and Chief Scientific Officer/CTO/Quantum AI Researcher (PhD) (Palo Alto)
Palo Alto, California
Ailifepay Inc.
Posted 12 days ago
Job Viewed
Job Description
Co-founder and Chief Scientific Officer/CTO/Quantum AI Researcher (PhD)
Get AI-powered advice on this job and more exclusive features.
Equity: 11% (Base) + 4% (Bonus); Vesting over 4 years
Co-Founder Position! Strong interest to Build Fintech
At AiLifePay Inc., you will become part of a quantum equilibrium driven ailifescore credit scoring company. Al-Life Score algorithm is our newest innovation in financial services and driver of wealth creation. AI-Life Score utilizes a researched quantum analysis model to detect evolving arbitrage data in personal finance and wealth management. Our purpose is to provide lending and credit services, fraud detection and decision underwriting, quantum-driven risk analytics in an upcoming high-tech sector of Quantum Equilibrium Finance.
As Co-founder and Chief Scientific Officer/CTO/Quantum AI Researcher (PhD), you will play a pivotal role in the development and commercialization of our technologies, seed new industries built on the capabilities of a wide range of deep technology, and build a sustainable knowledge ecosystem. We are collaborative and entrepreneurial, committed to building new products to unlock innovation through cross-domain thinking to support our potential customers. You will develop the next generation of regenerative business models and lead optimization workflows and services with our customers while integrating with the firm's future technology partners. This role offers a chance to explore your leadership capabilities and apply your analytical and technical skills in financial computing, working with a passionate and highly technical team.
Your Responsibilities:
- Understanding of financial engineering and challenges to turn data into action, and trends to identify risks and opportunities.
- Design of strategy and roadmap, develop insights to set and prioritize goals.
- R&D of a model governance and model performance framework for credit risks and investment models, define metrics for performance.
- Creating libraries and frameworks that underpin reliable and testable systems.
- Machine learning for quantum control, forming the intelligence layer of the quantum stack.
- Deep learning for pattern recognition and feature extraction supporting automated decision-making in quantum device workflows.
- Manage business development roadmaps, innovation, marketing, and BI tools instrumental to the company’s success.
Minimum Qualifications:
- PhD in Computer Science, ECE, AI, Data Science, or related fields with strong entrepreneurial desire in quantum technology.
- Experience with data mining, analytics, modeling, statistical analysis, machine learning, large-scale transformer models.
- Design of strategy and roadmap, solving problems including time series forecasting, clustering with statistical and machine learning methods.
Preferred Qualifications:
- Interest in software development for quantitative investment workflows, credit and risk modeling, financial intelligence.
- Proven industry experience, managing multiple projects from proof-of-concept to implementation.
- Executive
- Full-time
- Business Development and Sales
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Location: Palo Alto, CA | Salary: $50,000 - $00,000 | Posted: 2 weeks ago
Other similar roles include:
- Executive Operations to Founder at YC Startup in Redwood City, CA, 130,000 - 180,000, posted 3 weeks ago
- Co-Founder – Early-Stage Startup in Bay Area, $1 5,000 - 200,000, posted 2 weeks ago
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0
Research Scientist
94025 Menlo Park, California
Meta
Posted 1 day ago
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Ph.D degree (or foreign equivalent) in Computer Science, Electrical Engineering, Computer Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field.
12. Requires completion of a university-level course, research project, internship, or thesis in the following:
13. 1. Algorithms, data structures, or systems software
14. 2. Solving analytical problems using quantitative approaches
15. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 4. Communicating complex research in a clear, precise, and actionable manner
17. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
18. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
19. 7. Devising better data-driven models of human behavior
20. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
21. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
22. 10. Java, C++, Perl, PHP, or Python.
**Public Compensation:**
$221,024/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Ph.D degree (or foreign equivalent) in Computer Science, Electrical Engineering, Computer Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field.
12. Requires completion of a university-level course, research project, internship, or thesis in the following:
13. 1. Algorithms, data structures, or systems software
14. 2. Solving analytical problems using quantitative approaches
15. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 4. Communicating complex research in a clear, precise, and actionable manner
17. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
18. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
19. 7. Devising better data-driven models of human behavior
20. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
21. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
22. 10. Java, C++, Perl, PHP, or Python.
**Public Compensation:**
$221,024/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
1
Research Scientist
94025 Menlo Park, California
Meta
Posted 1 day ago
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Master's degree in Computer Science, Engineering, Analytics, Mathematics or a related field. Foreign degree equivalent accepted
12. Requires 3 months experience in job offered or in a related occupation
13. Experience must include 3 months involving the following:
14. 1. Algorithms, data structures, or systems software
15. 2. Research in machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
16. 3. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
17. 4. Devising data-driven models of human behavior
18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
19. 6. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
**Public Compensation:**
$226,929/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Master's degree in Computer Science, Engineering, Analytics, Mathematics or a related field. Foreign degree equivalent accepted
12. Requires 3 months experience in job offered or in a related occupation
13. Experience must include 3 months involving the following:
14. 1. Algorithms, data structures, or systems software
15. 2. Research in machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
16. 3. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
17. 4. Devising data-driven models of human behavior
18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
19. 6. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
**Public Compensation:**
$226,929/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
2
Research Scientist
94086 Sunnyvale, California
Meta
Posted 1 day ago
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Doctorate degree (or foreign degree equivalent) in Data Science, Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
12. Requires completion of a university-level course, research project, internship, or thesis in the following:
13. 1. Algorithms, data structures, or systems software
14. 2. Solving analytical problems using quantitative approaches
15. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 4. Communicating complex research in a clear, precise, and actionable manner
17. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
18. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
19. 7. Devising better data-driven models of human behavior
20. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
21. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
22. 10. Java, C++, Perl, PHP, or Python.
**Public Compensation:**
$214,032/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Doctorate degree (or foreign degree equivalent) in Data Science, Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
12. Requires completion of a university-level course, research project, internship, or thesis in the following:
13. 1. Algorithms, data structures, or systems software
14. 2. Solving analytical problems using quantitative approaches
15. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 4. Communicating complex research in a clear, precise, and actionable manner
17. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
18. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
19. 7. Devising better data-driven models of human behavior
20. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
21. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
22. 10. Java, C++, Perl, PHP, or Python.
**Public Compensation:**
$214,032/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
3
Research Scientist
94025 Menlo Park, California
Meta
Posted 1 day ago
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Research, identify, and analyze data and data patterns.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of company platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system-engineering and business intelligence standpoint.
**Minimum Qualifications:**
Minimum Qualifications:
9. Requires a Master's degree (Or Foreign Degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Computational Sciences, or a related field. Requires completion of a graduate-level course, research project, or internship in following:
10. 1. Algorithms, data structures, or systems software
11. 2. Solving analytical problems using quantitative approaches
12. 3. Gathering, manipulating, or analyzing complex, high-volume and dimensionality data from varying sources
13. 4. Communicating complex data research in a clear, precise, and actionable manner
14. 5. Researching topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
15. 6. Performing research that enables learning the semantics of data such as images, video, text, audio, or other modalities, and also advances the technology of intelligent machines
16. 7. Devising better data-driven models of human behavior
17. 8. Adapting standard machine learning methods to best enterprise modern parallel environments like distributed clusters, multicore SMP, or GPU
18. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
19. 10. Java, C++, Perl, PHP, or Python.
**Public Compensation:**
$214,032/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Research, identify, and analyze data and data patterns.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of company platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system-engineering and business intelligence standpoint.
**Minimum Qualifications:**
Minimum Qualifications:
9. Requires a Master's degree (Or Foreign Degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Computational Sciences, or a related field. Requires completion of a graduate-level course, research project, or internship in following:
10. 1. Algorithms, data structures, or systems software
11. 2. Solving analytical problems using quantitative approaches
12. 3. Gathering, manipulating, or analyzing complex, high-volume and dimensionality data from varying sources
13. 4. Communicating complex data research in a clear, precise, and actionable manner
14. 5. Researching topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
15. 6. Performing research that enables learning the semantics of data such as images, video, text, audio, or other modalities, and also advances the technology of intelligent machines
16. 7. Devising better data-driven models of human behavior
17. 8. Adapting standard machine learning methods to best enterprise modern parallel environments like distributed clusters, multicore SMP, or GPU
18. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
19. 10. Java, C++, Perl, PHP, or Python.
**Public Compensation:**
$214,032/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
4
Research Scientist
94025 Menlo Park, California
Meta
Posted 1 day ago
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field and two years of work experience in job offered or computer-related occupation.
12. Requires two years of experience in the following:
13. 1. Algorithms, data structures, or systems software
14. 2. Solving analytical problems using quantitative approaches
15. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 4. Communicating complex research in a clear, precise, and actionable manner
17. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
18. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
19. 7. Devising better data-driven models of human behavior
20. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
21. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models and
22. 10. Java, C++, Perl, PHP, or Python.
**Public Compensation:**
$263,803/year to $290,180/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field and two years of work experience in job offered or computer-related occupation.
12. Requires two years of experience in the following:
13. 1. Algorithms, data structures, or systems software
14. 2. Solving analytical problems using quantitative approaches
15. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 4. Communicating complex research in a clear, precise, and actionable manner
17. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
18. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
19. 7. Devising better data-driven models of human behavior
20. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
21. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models and
22. 10. Java, C++, Perl, PHP, or Python.
**Public Compensation:**
$263,803/year to $290,180/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
5
Research Scientist
94025 Menlo Park, California
Meta
Posted 1 day ago
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
10. Exercise judgment within defined procedures and practices to determine appropriate action.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a PhD in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field. Foreign equivalent accepted.
12. Requires and completion of a graduate-level course, research project, or internship involving the following:
13. 1. Algorithms, data structures, or systems software
14. 2. Solving analytical problems using quantitative approaches
15. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 4. Communicating complex research in a clear, precise, and actionable manner
17. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
18. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
19. 7. Devising better data-driven models of human behavior
20. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
21. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models and
22. 10. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$214,032/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
10. Exercise judgment within defined procedures and practices to determine appropriate action.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a PhD in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field. Foreign equivalent accepted.
12. Requires and completion of a graduate-level course, research project, or internship involving the following:
13. 1. Algorithms, data structures, or systems software
14. 2. Solving analytical problems using quantitative approaches
15. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 4. Communicating complex research in a clear, precise, and actionable manner
17. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
18. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
19. 7. Devising better data-driven models of human behavior
20. 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
21. 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models and
22. 10. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$214,032/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
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6
Principal Research Scientist
94039 Mountainview, California
Intuit
Posted 1 day ago
Job Viewed
Job Description
**Overview**
Intuit is hiring a Principal AI Researcher to join the Intuit Research team.
The mission of the AI Research team is to do cutting edge research in AI topics that directly influence Intuit's portfolio of fintech offerings and position Intuit as a global leader in AI with the goal of powering prosperity around the world. In this role you will be advancing the state of the art in fundamentals of artificial intelligence. We are seeking candidates who are experts in generative AI, fundamentals of deep learning and optimization, and passionate about areas such as neuro-symbolic AI, personalization and recommendation, theory and applications of large language models, and robustness and uncertainty quantification. You will join a high-caliber team of domain experts, data scientists, and machine learning engineers to shape our strategy in this area, and develop advanced capabilities that serve our customers' needs, both current and future.
**What you'll bring**
+ PhD in Computer Science/Electrical Engineering/Statistics/Applied Mathematics or a related field with focus on AI/ML
+ 7+ years of relevant work experience post PhD
+ Past experience leading a research or applied research team
+ Established track record of publication, ideally demonstrated through first author publications in top tier AI conferences ( e.g. NeurIPS, ICML, KDD, ACL, AAAI)
+ 10+ years experience in conducting theoretical or applied research with demonstrated capability of defining and driving research projects
+ Past experience in disseminating new technical ideas to the larger scientific community through open sourcing, publications, and presentations
+ Experience with developing and debugging in Python with Tensorflow, Pytorch, or similar frameworks
+ Deep technical expertise in machine learning in general, along with hands-on experience in either deep NLP architectures, neuro-symbolic AI, or robust and/or explainable AI
+ Excited about the future of Money, Payments, FinTech, and the transformation these technologies will drive
+ Strong interpersonal and communication skills in order to effectively communicate and/or collaborate with other team members as well as product technologists and other stakeholders
+ Excellent leadership and communication skills to influence teams and to evangelize research solutions across the company
**How you will lead**
+ Technical leadership in areas of Language Agents, Neuro Symbolic AI, Multimodal and Large Language Models, Natural Language Processing, Deep Learning, and Machine Learning.
+ Pushing boundaries of AI native fintech applications through innovation and partnership.
+ Engaging with the academic and broader research community through publications, presentations, and collaborations.
+ Working towards long-term ambitious research goals that are in alignment with Intuit products, while identifying intermediate milestones
+ Working with a cross-functional team of designers, program managers, researchers, legal experts and more, to create new capabilities for current and future products
+ Mentoring junior researchers and interns through goal setting and technical directions that lead to positive outcomes
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Intuit is hiring a Principal AI Researcher to join the Intuit Research team.
The mission of the AI Research team is to do cutting edge research in AI topics that directly influence Intuit's portfolio of fintech offerings and position Intuit as a global leader in AI with the goal of powering prosperity around the world. In this role you will be advancing the state of the art in fundamentals of artificial intelligence. We are seeking candidates who are experts in generative AI, fundamentals of deep learning and optimization, and passionate about areas such as neuro-symbolic AI, personalization and recommendation, theory and applications of large language models, and robustness and uncertainty quantification. You will join a high-caliber team of domain experts, data scientists, and machine learning engineers to shape our strategy in this area, and develop advanced capabilities that serve our customers' needs, both current and future.
**What you'll bring**
+ PhD in Computer Science/Electrical Engineering/Statistics/Applied Mathematics or a related field with focus on AI/ML
+ 7+ years of relevant work experience post PhD
+ Past experience leading a research or applied research team
+ Established track record of publication, ideally demonstrated through first author publications in top tier AI conferences ( e.g. NeurIPS, ICML, KDD, ACL, AAAI)
+ 10+ years experience in conducting theoretical or applied research with demonstrated capability of defining and driving research projects
+ Past experience in disseminating new technical ideas to the larger scientific community through open sourcing, publications, and presentations
+ Experience with developing and debugging in Python with Tensorflow, Pytorch, or similar frameworks
+ Deep technical expertise in machine learning in general, along with hands-on experience in either deep NLP architectures, neuro-symbolic AI, or robust and/or explainable AI
+ Excited about the future of Money, Payments, FinTech, and the transformation these technologies will drive
+ Strong interpersonal and communication skills in order to effectively communicate and/or collaborate with other team members as well as product technologists and other stakeholders
+ Excellent leadership and communication skills to influence teams and to evangelize research solutions across the company
**How you will lead**
+ Technical leadership in areas of Language Agents, Neuro Symbolic AI, Multimodal and Large Language Models, Natural Language Processing, Deep Learning, and Machine Learning.
+ Pushing boundaries of AI native fintech applications through innovation and partnership.
+ Engaging with the academic and broader research community through publications, presentations, and collaborations.
+ Working towards long-term ambitious research goals that are in alignment with Intuit products, while identifying intermediate milestones
+ Working with a cross-functional team of designers, program managers, researchers, legal experts and more, to create new capabilities for current and future products
+ Mentoring junior researchers and interns through goal setting and technical directions that lead to positive outcomes
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
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7
Audio Research Scientist
94039 Mountainview, California
Google
Posted 1 day ago
Job Viewed
Job Description
Minimum qualifications:
+ PhD degree in Computer Science, a related field, or equivalent practical experience.
+ 2 years of experience leading a research agenda.
+ Experience with audio algorithms, digital signal processing, beam forming, and noise cancellation technologies and tools.
+ One or more scientific publication submission(s) for conferences, journals, or public repositories.
Preferred qualifications:
+ Experience with Digital Signal Processing.
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'll develop algorithms, machine learning models, and software to deliver sound quality, noise cancellation, spatial audio, and intelligent features directly to our users.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.
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 ( .
+ Develop algorithms.
+ Develop machine learning models.
+ Contribute to the foundations of the Pixel Bud team.
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.
+ 2 years of experience leading a research agenda.
+ Experience with audio algorithms, digital signal processing, beam forming, and noise cancellation technologies and tools.
+ One or more scientific publication submission(s) for conferences, journals, or public repositories.
Preferred qualifications:
+ Experience with Digital Signal Processing.
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'll develop algorithms, machine learning models, and software to deliver sound quality, noise cancellation, spatial audio, and intelligent features directly to our users.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.
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 ( .
+ Develop algorithms.
+ Develop machine learning models.
+ Contribute to the foundations of the Pixel Bud team.
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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8
Research Scientist, Luma
94039 Mountainview, California
Google
Posted 1 day ago
Job Viewed
Job Description
Minimum qualifications:
+ PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or in a related technical field, or equivalent practical experience.
+ 2 years of experience in computer vision, Machine Learning (ML), image processing, or computer graphics.
+ Experience in Python programming.
+ One or more scientific publication submission(s) for conferences, journals, or public repositories. (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc).
+ Experience in state of the art ML and deep learning using modern ML packages e.g. JAX, and TensorFlow.
Preferred qualifications:
+ Ability to design and execute on research agendas.
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.
This team's mission is to develop fundamental, state of the art, imaging, and Machine Learning (ML) research and technology, widely applicable to Google products, and helpful to users.
Over the last several years, this team has developed several core technologies including the digital zoom pipeline for the Pixel phones, which includes the multi-frame super-resolution pipeline. Most recently, this team led the development of the Unblur feature launched in Google Photos with Pixel 7/pro. Unblur is the most frequently used premium feature on Pixel.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
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 ( .
+ Research and develop ML for computer vision, computational photography, graphics, image or video processing, and generative AI.
+ Demonstrate strong programming application skills in Python, and knowledge of ML platforms such as Jax, TensorFlow, and Pytorch.
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, Artificial Intelligence, Machine Learning, or in a related technical field, or equivalent practical experience.
+ 2 years of experience in computer vision, Machine Learning (ML), image processing, or computer graphics.
+ Experience in Python programming.
+ One or more scientific publication submission(s) for conferences, journals, or public repositories. (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc).
+ Experience in state of the art ML and deep learning using modern ML packages e.g. JAX, and TensorFlow.
Preferred qualifications:
+ Ability to design and execute on research agendas.
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.
This team's mission is to develop fundamental, state of the art, imaging, and Machine Learning (ML) research and technology, widely applicable to Google products, and helpful to users.
Over the last several years, this team has developed several core technologies including the digital zoom pipeline for the Pixel phones, which includes the multi-frame super-resolution pipeline. Most recently, this team led the development of the Unblur feature launched in Google Photos with Pixel 7/pro. Unblur is the most frequently used premium feature on Pixel.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
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 ( .
+ Research and develop ML for computer vision, computational photography, graphics, image or video processing, and generative AI.
+ Demonstrate strong programming application skills in Python, and knowledge of ML platforms such as Jax, TensorFlow, and Pytorch.
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:
View Now
9