Research Scientist jobs at Apple

Senior Machine Learning Scientist - Traveler Engagement & Loyalty team (San Jose) Introduction to the Team: Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Traveler Engagement & Loyalty team at Expedia is at the forefront of innovation in AI-driven recommendation systems. We're dedicated to enhancing customer experiences, increasing engagement, and strengthening traveler relationships through cutting-edge machine learning solutions. Our work directly impacts millions of travelers worldwide, shaping their journey from dreaming to booking and beyond. Join a newly formed Machine Learning Science team at Expedia Group focused on transforming Customer Relationship Management (CRM) through intelligent, personalized outbound communications. From crafting tailored travel recommendations to optimizing engagement strategies, your work will directly influence millions of travelers globally. This is a rare opportunity to build foundational systems in a high-impact domain, backed by Expedia's AI-first vision. In this role, you will: Build and optimize recommendation models for CRM use cases, including personalized email campaigns and retention strategies Apply deep learning and causal inference to sparse, noisy, and dynamic customer interaction data Design and analyze A/B experiments to validate model performance and drive product decisions Collaborate with ML Engineers to deploy models at scale, ensuring robustness and reliability in production environments Translate business objectives into measurable machine learning goals aligned with customer engagement outcomes Stay current with advancements in recommendation research, deep learning architectures, and personalization systems Mentor junior scientists and engineers, sharing best practices in ML modeling, experimentation, and deployment Minimum Qualifications: PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience 8+ years of related industry experience Experience building production-grade recommendation or personalization systems Strong understanding of collaborative filtering, deep learning for recommendations, reinforcement learning, and causal inference Proficiency in Python and ML frameworks such as TensorFlow or PyTorch Experience with distributed systems like Apache Spark Familiarity with A/B testing and experimentation methodologies Ability to work with large-scale, real-world data with attention to bias, fairness, and privacy Excellent communication skills for both technical and non-technical audiences Preferred Qualifications: Experience in the travel or e-commerce industry Familiarity with cloud platforms (AWS, GCP, Azure) Publications in top-tier ML conferences or journals Contributions to open-source ML projects Experience in personalization systems or CRM-focused ML applications Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams

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. Research, design and develop Machine Learning algorithms to improve the accuracy, relevancy of the ads ranking system. 12. Improve large scale distributed ads serving system's efficiency, scalability, robustness and latency through system and model codesign. 13. Improve tooling, processes to facilitate ads ranking model life cycle including training, testing, lowering and serving. **Minimum Qualifications:** Minimum Qualifications: 14. PhD degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field 15. Requires completion of a university-level course, research project, internship, or thesis in the following: 16. Algorithms, data structures, or systems software 17. Solving analytical problems using quantitative approaches 18. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources 19. Communicating complex research in a clear, precise, and actionable manner 20. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision 21. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines 22. Devising better data-driven models of human behavior 23. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU 24. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models and 25. Java, C++, Perl, PHP, or Python **Public Compensation:** $258,524/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 accommodations-ext@fb.com.

-Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.-Work towards long-term ambitious research goals, while identifying intermediate milestones.-Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.-Work with a large team.-Contribute to publications and open-sourcing efforts.-Mentor other team members. Play a significant role in healthy cross-functional collaboration.-Prioritize research that can be applied to Meta's product development. **Required Skills:** AI Research Scientist, VLM (vision language models) Responsibilities: 1. Push state of the art in multimodal generative AI 2. Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants 3. Mentor and work with AI/ML engineers to find a path from research to production **Minimum Qualifications:** Minimum Qualifications: 4. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 5. A PhD in AI, computer science, or related technical fields 6. Publications in machine learning, computer vision, NLP, speech 7. Experience writing software and executing complex experiments involving large AI models and datasets 8. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 9. First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). 10. Direct experience in generative AI and LLM research. 11. Fluent in Python and PyTorch (or equivalent) **Public Compensation:** $177,000/year to $251,000/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 accommodations-ext@fb.com.

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 accommodations-ext@fb.com.

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. Telecommute from anywhere in the US permitted. **Minimum Qualifications:** Minimum Qualifications: 12. Requires a PhD degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field, OR completion of all coursework towards a PhD degree in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field 13. Requires completion of a university-level course, research project, internship, or thesis in the following: 14. 1. Algorithms, data structures, or systems software 15. 2. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources 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 and 19. 6. Java, C++, Perl, PHP, or Python **Public Compensation:** $225,569/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 accommodations-ext@fb.com.

-Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.-Work towards long-term ambitious research goals, while identifying intermediate milestones.-Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.-Work with a large team.-Contribute to publications and open-sourcing efforts.-Mentor other team members. Play a significant role in healthy cross-functional collaboration.-Prioritize research that can be applied to Meta's product development. **Required Skills:** AI Research Scientist, VLM (vision language models) Responsibilities: 1. Push state of the art in multimodal generative AI 2. Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants 3. Mentor and work with AI/ML engineers to find a path from research to production **Minimum Qualifications:** Minimum Qualifications: 4. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 5. A PhD in AI, computer science, or related technical fields 6. Publications in machine learning, computer vision, NLP, speech 7. Experience writing software and executing complex experiments involving large AI models and datasets 8. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 9. First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). 10. Direct experience in generative AI and LLM research. 11. Fluent in Python and PyTorch (or equivalent) **Public Compensation:** $177,000/year to $251,000/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 accommodations-ext@fb.com.

Meta is seeking a Research Scientist Manager with expertise in product-focused signal processing and sensor development to help us create novel wearable devices and algorithms that will become one of the main pillars for interaction with the virtual and augmented world. Help us unleash human potential by removing the bottlenecks between user intent and action.Our team uses machine learning and statistical signal processing tools to advance our pioneering work building a practical, non-invasive wearable device that draws on rich neuromotor signals. We are a multi-disciplinary group of researchers and engineers who work closely with partner hardware, algorithms, and user experience teams to model and understand real-world use cases, set requirements for hardware performance, and develop software strategies to improve signal quality and product performance. **Required Skills:** Research Scientist Manager - Neuromotor Interfaces Responsibilities: 1. Lead a team of research scientists and research engineers to deliver high-quality products and solutions 2. Manage career guidance for the team through regular feedback and tracking performance 3. Collaborate with cross functional teams including hardware, machine learning research and engineering teams to develop scalable systems to characterize sensor performance and their impact on product features 4. Develop scalable methodologies and tools to simulate biophysical signals and their approximations 5. Explore methods to improve ML models for product features by incorporating knowledge of sensor performance limitations 6. Develop and implement engineering strategies to achieve product development targets 7. Foster a work environment of continuous learning, growth and improvement **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 9. Ph.D. in machine learning, AI, computer science, electrical engineering, statistics, applied mathematics, data science, signal processing, optimization or related technical fields 10. 4+ years of experience after PhD in related industry R&D setting 11. Experience defining research/technical direction for a team and to support the work of a small group of researchers towards those goals **Preferred Qualifications:** Preferred Qualifications: 12. Experience with human-in-loop sensor/wearable biosensor development in consumer hardware space (e.g. biosensors or novel input devices such as electrocardiography (EKG/ECG), photoplethysmography (PPG), capacitive sensing, electromyography, etc) 13. Proficiency with quantitative/statistical methods 14. Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem) 15. Experience collaborating with multiple interdisciplinary and/or cross functional teams 16. Demonstrated experience in managing technical teams including performance management **Public Compensation:** $177,000/year to $251,000/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 accommodations-ext@fb.com.

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 PhD (or foreign degree equivalent) in Computer Science , Engineering, Mathematics, or a related field 12. Requires completion of a research project, research assistantship or internship involving the following: 13. 1. Algorithms, data structures or systems software 14. 2. Convex and non-convex optimization, designing algorithm and building machine learning models 15. 3. Stochastic analysis of algorithm, proving learning guarantee of machine learning models 16. 4. Using tools such as Spark, Hadoop and Kafa to gather, manipulate, and analyze high-volume, high-dimensionality data from varying sources 17. 5. Communicating complex research in a clear, precise, and actionable manner 18. 6. Researching topics closely related to machine learning, NLP, recommendation systems, data mining, computer vision and graph neural network 19. 7. Designing efficient computer vision model to achieve hardware acceleration 20. 8. Customizing model operations to make full use of GPU power 21. 9. Improving recommendation system of advertising monetization for industrial use 22. 10. Machine learning frameworks such as PyTorch and TensorFlow 23. 11. C, C++, Python, R or SQL **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 accommodations-ext@fb.com.

We are the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI and ML technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML advancements, we help Meta's products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we're seeking AI Research Scientists to join our team and drive SOTA research across the Monetization organization. **Required Skills:** AI Research Scientist, CoreML - Monetization AI Responsibilities: 1. Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques 2. Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability 3. Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding 4. Design and implement generative modeling solutions for data augmentation 5. Research and develop graph-aware large language models 6. Develop and deploy AutoML pipelines 7. Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason 8. Use causal learning to identify and understand the cause and effect of relationships across data 9. Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains 10. Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models **Minimum Qualifications:** Minimum Qualifications: 11. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 12. Has obtained a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field 13. Experience holding an industry, faculty, or government researcher position 14. Research experience in natural language processing, large language modeling, deep learning, reinforcement learning, recommendations, ranking, search, or related areas 15. Publications in machine learning, artificial intelligence, or related field 16. Programming experience in Python and hands-on experience with frameworks such as PyTorch 17. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 18. Experience taking ideas from research to production. 19. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward. **Public Compensation:** $147,000/year to $208,000/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 accommodations-ext@fb.com.

The MRS AI Knowledge team is at the forefront of innovation in content understanding, user understanding, retrieval, and ranking. As a key driver of Meta's app growth, we are committed to revolutionizing recommendation systems by leveraging the latest advancements in AI, including Large Language Models (LLMs) and generative AI. We're dedicated to pushing the boundaries of recommendation systems to deliver exceptional user experiences across Facebook, Instagram, Threads, and more. **Required Skills:** AI Research Scientist - Language - MRS AI Responsibilities: 1. Collaborate, and execute on research that pushes forward the state of the art in large language model research 2. Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results 3. Contribute to publications and open-sourcing efforts 4. Help identify long-term ambitious research goals as well as intermediate milestones 5. Prioritize research that can be applied to Meta's product development **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 8. Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields 9. Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics 10. Direct experience in generative AI and LLM research 11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward 13. Experience with deep learning frameworks (such as pytorch, tensorflow) and Python 14. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV) 15. Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 16. Experience working and communicating cross functionally in a team environment 17. Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources **Public Compensation:** $147,000/year to $208,000/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 accommodations-ext@fb.com.

Meta is seeking Research Scientists with experience in product-focused signal processing and machine learning to help us create novel wearable sensors and algorithms to power the next generation of neuromotor interfaces and augmented reality systems. Help us unleash human potential by removing the bottlenecks between user intent and action. **Required Skills:** Research Scientist - Neuromotor Interfaces Responsibilities: 1. Collaborating with hardware and machine learning teams to define sensor performance requirements as well as characterize the dependencies between sensors and overall system performance 2. Exploring and designing new sensing architectures and characterizing their impact on the downstream ML models and their requirements 3. Building simulation tools and use them to explore sensor performance 4. Developing methodologies and tools to simulate biophysical signals and their approximations **Minimum Qualifications:** Minimum Qualifications: 5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 6. Ph.D. in machine learning, AI, computer science, electrical engineering, statistics, applied mathematics, data science, signal processing, optimization or related technical fields 7. Proven track record of publication demonstrating experience in research 8. Research-oriented software engineering skills (SciPy ecosystem/ML tools, MATLAB) **Preferred Qualifications:** Preferred Qualifications: 9. Experience with human-in-loop sensor development (e.g. biosensors or novel input devices such as electrocardiography (EKG/ECG), photoplethysmography (PPG), capacitive sensing, electromyography, etc) 10. Statistically grounded design of test methods for evaluating sensor hardware performance in lab and factory (e.g. aggressor studies and simulations, hardware phantoms) 11. Demonstrated experience of statistical signal processing skills 12. Experience working in consumer hardware engineering 13. Experience building user interaction systems and/or working in human-computer interaction 14. Experience shipping consumer hardware products at large scale 15. Experience defining research/technical direction for a team and to support the work of a small group of researchers towards those goals **Public Compensation:** $147,000/year to $208,000/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 accommodations-ext@fb.com.

Meta Reality Labs Research (RL Research) brings together an industry-leading R&D team of researchers, developers, and engineers with the shared goal of developing AI and AR/VR technology across the spectrum. The Surreal Spatial AI group is seeking innovative research scientists to build machine perception technology allowing AI agents and systems to perceive and understand the 3D world around them. The aim of this role is to develop, advance and integrate ML and computer vision models and SW systems for advanced, real-time machine perception for egocentric devices such as Meta's Project Aria, including 3D environment and object reconstruction, semantic understanding, estimation and understanding of user motion, actions and activities, and learning of predictive, causal world models for embodied AI agents and egocentric devices **Required Skills:** AI Research Scientist, 3D Machine Learning & Computer Vision Responsibilities: 1. Research, develop and prototype state of the art ML and software in the domains of World Model/VLA, Long-context & consistent 4D scene understanding, 3D environment and object reconstruction, estimation and understanding of user motion and more 2. Build/integrate real-time prototypes for advanced, real-time 3D machine perception systems as part of a fast-moving research and research engineering team 3. Collaborate with team members throughout the lifetime of a project, from prototyping to deployed products 4. Deliver research results that have a direct impact on Meta and Meta's AI-enabled products **Minimum Qualifications:** Minimum Qualifications: 5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 6. Currently has or is in the process of obtaining a PhD in the field of computer vision, Machine Learning / Artificial Intelligence, robotics or equivalent 7. Track-record of state-of-the-art publications in the field and at top conferences in the field 8. Experienced in advanced computer vision and ML, thorough understanding of 3D geometry fundamentals as well as state of the art ML/AI models incorporate that Mathematical background and understanding of numerical optimization, linear algebra, probabilistic estimation and 3D geometry 9. 3+ years C++/Python experience with a mastery of modern C++/Python features 10. 3+ years experience with modern ML frameworks 11. Interpersonal experience: cross-group and cross-functional collaboration 12. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 13. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR/ICCV/ECCV, NeurIPS/ICLR, ICRA/RSS/CoRL/IROS, or SIGGRAPH 14. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 15. Broad understanding of the state of the art of ML and AI model architectures and training paradigms 16. Experience working on real-time, high-performance systems in robotics, world model, AR/VR, or other areas 17. Experience working in a Linux environment **Public Compensation:** $147,000/year to $208,000/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 accommodations-ext@fb.com.

Meta Reality Labs is at the forefront of innovation, bringing together a dynamic team of researchers, developers, and engineers dedicated to advancing AR and VR technologies. Our Core AI group is seeking a Research Scientist to tackle cutting-edge research challenges in image restoration using Generative AI methods, such as diffusion and autoregressive approaches. This role aims to push the boundaries of state-of-the-art research in image restoration, enhancing the quality and realism of visual content. **Required Skills:** Research Scientist - Generative AI Computational Photography, Reality Labs Responsibilities: 1. Conduct pioneering research and develop novel Generative AI models, focusing on image restoration tasks such as image and video super-resolution, denoising, deblurring, or frame interpolation 2. Publish research findings in top-tier journals and present at leading international conferences 3. Collaborate with cross-functional teams throughout the project lifecycle, from initial research to prototyping and deployment 4. Work closely with product partners to integrate research outcomes into Meta's products, enhancing user experiences **Minimum Qualifications:** Minimum Qualifications: 5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 6. PhD in Computer Vision, Machine Learning, or a related field, with a focus on Generative AI and image restoration 7. Advanced background in designing machine learning algorithms, including experience with training and inference of novel ML architectures 8. Proven experience in cross-functional collaboration and teamwork **Preferred Qualifications:** Preferred Qualifications: 9. Experience as a software engineer through internships, work experience, coding competitions, or contributions to widely used open-source repositories (e.g., GitHub) 10. Demonstrated success in achieving significant research outcomes, evidenced by grants, fellowships, patents, and first-authored publications at leading conferences such as CVPR, ECCV/ICCV, NeurIPS, ICLR, or SIGGRAPH 11. Solid mathematical foundation and understanding of numerical optimization, linear algebra, and probabilistic estimation **Public Compensation:** $147,000/year to $208,000/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 accommodations-ext@fb.com.

We are the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI and ML technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML advancements, we help Meta's products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we're seeking AI Research Scientists to join our team and drive SOTA research across the Monetization organization. **Required Skills:** AI Research Scientist, CoreML - Monetization AI Responsibilities: 1. Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques 2. Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability 3. Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding 4. Design and implement generative modeling solutions for data augmentation 5. Research and develop graph-aware large language models 6. Develop and deploy AutoML pipelines 7. Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason 8. Use causal learning to identify and understand the cause and effect of relationships across data 9. Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains 10. Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models **Minimum Qualifications:** Minimum Qualifications: 11. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 12. Has obtained a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field 13. Experience holding an industry, faculty, or government researcher position 14. Research experience in natural language processing, large language modeling, deep learning, reinforcement learning, recommendations, ranking, search, or related areas 15. Publications in machine learning, artificial intelligence, or related field 16. Programming experience in Python and hands-on experience with frameworks such as PyTorch 17. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 18. Experience taking ideas from research to production. 19. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). 20. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward. **Public Compensation:** $147,000/year to $208,000/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 accommodations-ext@fb.com.

The Video Intelligence team is an applied AI research team within the Facebook pillar. This role is expected is to develop advanced video generation and understanding foundation models, enabling innovative AI-driven video creation experiences and enhancing our ability to comprehend video content. The team is responsible for building state-of-the-art GenAI technology to empower video generation and understanding. **Required Skills:** AI Research Scientist, Computer Vision - Facebook Video Intelligence Responsibilities: 1. Build a variety of multimodal foundation models such as text-to-video generative models, image-to-video generative models, video understanding models, unified native video generative models 2. Design core foundation model architectures and progressive pre-train 3. Post-train foundation models using techniques such as Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), and Low-Rank Adaptation (LoRA) 4. Conduct research to develop SOTA GenAI models for the Facebook family of apps **Minimum Qualifications:** Minimum Qualifications: 5. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 6. PhD in Computer Science, Machine Learning, or a relevant technical field 7. Experience training multimodal, computer vision, LLM or related AI/ML models 8. Programming experience in Python and hands-on experience with frameworks such as PyTorch 9. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 10. First-authored publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL) 11. Experience collaborating in cross-functional teams, including product, engineering, and research 12. Experience building text-to-video generative models, image-to-video generative models, video understanding models, and/or unified native video generative models **Public Compensation:** $117,000/year to $173,000/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 accommodations-ext@fb.com.

We are looking for Research scientists to join the Central Applied Science team. We are an interdisciplinary research engineering team focused on developing high-impact central scientific solutions that are broadly applicable across Meta.By applying your research, engineering and scientific expertise, you will be empowered to drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to have expertise and publications within research areas including artificial intelligence, machine learning, statistics, causal inference and experimentation. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems. **Required Skills:** Research Scientist, Central Applied Science Responsibilities: 1. Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products 2. Develop novel quantitative methods on top of Meta's unparalleled data infrastructure 3. Work towards long-term ambitious research goals, while identifying intermediate milestones 4. Communicate best practices in quantitative analyses to partners 5. Work both independently and collaboratively with other scientists, engineers, and product managers to accomplish complex tasks that deliver demonstrable value 6. Actively identify new opportunities within Meta's long term roadmap for applied scientific contributions **Minimum Qualifications:** Minimum Qualifications: 7. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 8. A PhD in the field of Computer Science, Statistics, Operations Research or a related field, or equivalent practical experience 9. Experience with empirical research and for answering questions with data 10. Experience developing algorithms in languages such as Python, C, C++ or Java 11. Experience analyzing datasets using languages such as Python 12. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 13. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward 14. Experience working and communicating cross functionally in a team environment, leading complex projects from project ideation to production launch 15. Experience analyzing large datasets using tools like Presto, Hive or Spark 16. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as ICML, NeurIPS, ICLR, KDD, EC, or similar **Public Compensation:** $56.25/hour to $173,000/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 accommodations-ext@fb.com.

At Meta Reality Labs (RL), we are inventing the future. We bring together a world-class team of researchers, developers, and engineers to build the future of connection within virtual and augmented reality. As a Research Scientist at RL, you are expected to have breadth and depth of scientific background in one or more areas such as human perception, cognition, motor control and movement. You will be leveraging this background in service of defining, assessing and enhancing the form, function and dynamics of our hardware and software. You will break down ambiguous problems and master research methods, including but not limited to, design of experiments, expert review, psychophysics & threshold detection, biomechanics & ergonomics, and safety research approaches. You will prove highly effective at driving insights into actionable product engineering & development outcomes and metrics and collaborate closely with cross functional partners to help shape critical product and technology decisions across the product design and development life cycle. You will work across multi-disciplinary hardware and software teams to push the boundaries of RL products while enhancing the value users get from these products. Ultimately, your expertise and ingenuity in research must do more than just contribute to knowledge and assessment - you must also be skilled at driving measurable impact on the user experience of our products. **Required Skills:** UX Research Scientist, Reality Labs Responsibilities: 1. In Reality Labs, the focus areas of UX research scientists can vary from health and safety to biomechanics & ergonomics to input & interaction. Regardless of focus area, the primary responsibility is to develop frameworks that clearly define the trade space between user variables and technology variables and to develop methodologies for investigating novel challenges 2. Collaborate and work with cross-functional product teams to identify user goals and envision needs and create research frameworks 3. Develop ergonomic, perceptual, or psychological research studies by utilizing appropriate methods, which may include experimental design, psychophysics and threshold detection, motion tracking and kinematics analysis, behavioral analytics, expert review and relevant safety research approaches 4. Develop and track metrics for quality of performing fundamental Augmented Reality/Virtual Reality tasks such as spatial navigation, input & interaction, and beyond 5. Investigate effects of human multisensory interactions, attention, and control dynamics on performance and safety of doing such tasks 6. Analyze rich and multidimensional data, develop descriptive and analytical models, and shape actionable insights from research findings 7. Effectively communicate outcomes and insights from studies, support decision-making and help setting specifications for Reality Labs hardware and software products, and drive measurable impact on the user experience 8. Create close partnerships with a variety of leadership, research and product stakeholders to ensure a broad understanding of the product needs and priorities while driving UX goals 9. Define metrics that establish overall system requirements and performance 10. Collaborate with other researchers and engineers across teams at Meta to develop experiments, prototypes, and concepts that advance the state-of-the-art in AR/VR systems 11. Improve data analysis pipelines with an emphasis on scalability and stability of various deployed systems **Minimum Qualifications:** Minimum Qualifications: 12. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 13. PhD in Computer Science, Computer Engineering, Human-Computer Interaction, Human-Centered Computing, Cognitive/Experimental Psychology, Cognitive Science, Kinesiology, Biomedical Engineering, Industrial Engineering, Human Factors, Mechanical Engineering, Robotics or a closely related scientific or engineering field 14. Demonstrated scientific background in human multi-sensory perception, cognition, motor control, movement, virtual characters/agents and/or Generative AI, with experience applying such knowledge in analyzing and improving immersive and social experiences or relevant human behaviors associated with novel systems 15. Proven track record of rigorous scientific research, including development of metrics, frameworks and novel scientific approaches and/or psychophysical and empirical behavioral measurements 16. Demonstrated track record of clear and concise communication, demonstrated experience translating technical concepts to drive understanding and buy-in from audiences, and proven experience of successfully building effective partnerships 17. Experience in conducting research for novel products headed to market 18. Experience in experimental design, psychophysics, behavioral analytics, and proficiency with inferential statistics **Preferred Qualifications:** Preferred Qualifications: 19. Experience in research across full product life-cycle 20. Experience in research for emerging technologies, AR/VR/MR or wearable technology 21. Training and experience in related techniques such as eye tracking, body motion tracking, postural stability measures, human motor control and kinematics analysis, EMG and other biometric sensing technology, and physiology measures 22. The right candidate will be an effective communicator, have an interest in understanding people, and curious about the evolving complex relationship between humans' sensorimotor and cognitive systems and the novel hardware and software technologies in development at RL 23. Although candidates should have hands-on experience conducting in-depth studies in an industry setting, we are looking for researchers that also have demonstrated experience in understanding human behavior and limitations to directly influence product design 24. Experience in experimental design, psychophysics, behavioral analytics, and proficiency with inferential statistics 25. Currently has or in the process of obtaining a PhD in Cognitive/Experimental Psychology, Cognitive Science, Kinesiology, Biomedical Engineering, Industrial Engineering, Human-Computer Interaction or a closely related scientific or engineering field. Degree must be completed prior to joining Meta **Public Compensation:** $117,000/year to $173,000/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 accommodations-ext@fb.com.

We are looking for a Research Scientist with expertise in AI for robotics to join our team within Reality Labs Research. You will work on advancing the state of the art for robot foundation models to develop robust autonomous robot policies for dexterous manipulation. You will work with a broad and highly interdisciplinary team of researchers, engineers, and designers, and will have access to cutting edge technology, resources, and testing facilities. **Required Skills:** AI Research Scientist, Robotics (Reality Labs Research) Responsibilities: 1. Develop machine learning and computer vision models for robotics to advance the state-of-the-art in robotics research 2. Design and implement ML pipelines to train robot policies 3. Develop experimental protocols for human/robot data collection and robot policy evaluation and analyze results **Minimum Qualifications:** Minimum Qualifications: 4. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 5. Ph.D. in Robotics, Artificial Intelligence, Computer science, relevant technical field, or equivalent practical experience 6. 3+ years experience in advanced AI techniques for robotics applications, such as VLAs, imitation learning, and/or cross-embodiment transfer learning 7. 3+ years experience in deploying and evaluating robot policies 8. 3+ years experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and programming in Python **Preferred Qualifications:** Preferred Qualifications: 9. Track record of research output with work published in top conferences and journals such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI) 10. Experience working and communicating cross-functionally to collaborate across disciplines and organizations **Public Compensation:** $117,000/year to $173,000/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 accommodations-ext@fb.com.

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products u0026 experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire future Apple products. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop pioneering solutions for challenging problems. This is a unique opportunity to be part of what forms the future of Apple products that will touch the lives of many people. We (Multimodal Intelligence Team) are looking for an AI Research Scientist to work on the field of Generative AI and multimodal foundation models. Our team has an established track record of shipping features that leverage multiple sensors, such as FaceID, RoomPlan and hand tracking in VisionPro, as well as a strong research presence in the multimodal AI community. Our publications span multimodal pre-training, vision-language models, video-language models, and multimodal alignment. We are focused on building experiences that demonstrate the power of our sensing hardware as well as large foundation models. You will work on advancing the capabilities of foundation models and guiding them toward real-world applications in Apple products. This includes researching and developing methods that improve alignment, reasoning, and adaptation of large models to practical use cases, while ensuring they meet Apple's standards for efficiency, scalability, and privacy. You will focus on creating customized foundation models with targeted capabilities that operate efficiently in constrained environments, supporting the next generation of intelligence across Apple's ecosystem. Your work includes staying ahead of emerging research and identifying techniques that are suitable for real-world deployment, helping translate scientific advancements into production-quality solutions. You will design and optimize large-scale data pipelines that support robust training and detailed evaluation of foundation models, working with massive multimodal datasets to push the limits of performance. You will explore new techniques that strengthen focused reasoning, multimodal understanding, and adaptive behavior, enabling models that perform well at large scale while also being tailored for specific Apple experiences, from cloud systems to on-device intelligence. Collaboration is essential in this role. You will partner with multi-functional teams of engineers and researchers to bring customized and efficient models into Apple products, ensuring smooth integration and enabling intelligent and natural user experiences throughout the ecosystem. PhD, or equivalent practical experience, in Computer Science, Machine Learning, or a related technical field. Demonstrated expertise in related field with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV,COLM, etc). Experience with full stack of foundation model training (vision-language). Familiarity with large-scale data pipelines, including data curation, preprocessing, and efficient storage. Ability to work effectively in a multi-functional, collaborative environment. Experience with advanced reasoning or reinforcement learning methods. Experience with model distillation using on-policy or off-policy techniques. Proficient programming skills in Python and experience with at least one modern deep learning framework (PyTorch, JAX, or TensorFlow). Experience working with large-scale training pipelines and distributed systems. Master's or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field.