8,655 Robotics Research jobs in the United States

**Summary:**
At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world. Meta Robotics Studios is seeking a Research Scientist who will do research & applied research to help lead concept innovation, design, development, and prototyping of novel robotics design and development, including electro-mechanical design and/or perception to control problems, as well as complex robotics that balance ergonomics, performance, reliability, and usability while maintaining the highest safety and quality standards. This role will be part of a cross-collaborative team responsible for initial concept development, analytical modeling, prototype design, construction, and testing; and it may involve research into Electro-mechanics, Sensor and Communication, and/or Planning and Control.
**Required Skills:**
Research Scientist, Robotics Systems Responsibilities:
1. Conduct research advancing novel robotics design and development, including new components and/or processes that guide toward production-ready systems
2. Drive the Robotics roadmap, exploring forward-looking ways to accelerate novel robotic architectures
3. Design and Development: research mechanical and electrical design and analysis problems for robotics structure, new sensors, mechanisms, power transmissions, communication hardware/firmware and systems integration while balancing ergonomics, performance, reliability
4. Research and design planning and control algorithms for executing actions to motors integrating sensors and actuations, frequently interacting with the Large Model (VLM/VLA) AI team and Mechatronics team
5. Perform experiments of real and simulation robotic systems and debug the supporting parts manufacture, working with internal and external partners to support part fabrication and complex custom sub assembly
6. Assembly of robot: hands-on partnership in the lab integrating research with construction of sub-assemblies into full system-level robot prototypes
7. Failure analysis: build subsystem test fixtures, design tests, create test plans, perform tests, measure and analyze data, and refine design assumptions
8. Develop novel mechanical contact sensors and research to understand the mechanics of materials
9. Develop novel non-contact sensors and research to understand the underlying physics behind the sensors
10. Develop communication hardware and firmware software
11. Research and develop characterization/training sensors and calibration
12. Research and design feedback controllers around the sensors and actuators
13. Research and develop a planning algorithm that involves perception and collision avoidance
**Minimum Qualifications:**
Minimum Qualifications:
14. 5+ years experience in Robotics, Electro-Mechanical Design, Sensor & Communications, or a similar field
15. Experience designing complex electromechanical assemblies (robotics, automotive, aerospace, industrial automation or a similar domain)
16. Experience with Robotics and consumer electronic product design
17. Experience with more than one of the following: motor design and control, digital control theory, optimization algorithms, feedback control algorithms, chip-level sensor design, gear-ratio optimization, dynamic system ID and machine learning
18. Experience with organizational and analytical skills, driving technical strategy and execution in a fast-paced, high ambiguity environment
**Preferred Qualifications:**
Preferred Qualifications:
19. Experience in statistical process control.
20. Experience with SOLIDWORKS, Siemens NX or similar CAD tools.
21. Proficient in C++ or Python programming.
22. Experience with manufacturing processes and materials.
23. Experience working in CM, JDM, and ODM/OEM development models.
24. Experience working closely with a cross-functional team of scientists & engineers to deliver technical solutions to novel problems, communicating and collaborating across disciplines.
25. Experience in developing power electronics components for robotics systems (battery, power management circuit, and motor driver - field oriented control).
26. Extensive knowledge of traditional mass production manufacturing processes, including the potentials and limitations of injection molding, metal injection molding, CNC, sheet metal, elastomer compression molding, die casting, thixomolding, MLBs fabrication, SMT, and/or FPCs fabrication.
27. Experience in Machine Learning tools.
28. Experience with simulation tools conducting Finite element analysis: Structural, Modal.
29. Experience in Convex Optimization tools and theories.
30. Experience with automation equipment design and custom machine builds.
**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

**Summary:**
The ideal Research Scientist candidate will use their skills in system design and modeling and possess knowledge of a wide variety of components and technologies. These roles will require research and problem-solving skills, as well as fabrication and prototyping to design, develop, and construct novel prototypes and architectures. These roles will work in a focused incubation team and collaborate with a large and wide-ranging set of scientists and engineers in the greater organization.
**Required Skills:**
AI Research Scientist, Robotics Responsibilities:
1. Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
2. Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc)
3. Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
4. Develop algorithms based on state-of-the-art machine learning and neural network methodologies
5. Define, build and benchmark new functionalities needed for the next generation of AI
6. Conduct research towards long-term product goals while identifying intermediate milestones
7. Plan and execute novel research based on long-term objectives of the organization
**Minimum Qualifications:**
Minimum Qualifications:
8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
9. Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
10. Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or LLMs
11. Experience in relevant robotics related research areas, such as: VLM, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
**Preferred Qualifications:**
Preferred Qualifications:
12. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
13. Experience working with robot simulations and real-world hardware
14. Experience working and communicating cross functionally in a team environment
15. 2+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
16. 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)
17. Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
18. Experience building systems based on machine learning and/or deep learning methods
19. Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
20. Experience with deep learning frameworks (such as PyTorch, Tensorflow) and Python
**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

**Summary:**
At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world. Meta Robotics Studios is seeking a Research Scientist who will do research & applied research to help lead concept innovation, design, development, and prototyping of novel robotics design and development, including electro-mechanical design and/or perception to control problems, as well as complex robotics that balance ergonomics, performance, reliability, and usability while maintaining the highest safety and quality standards. This role will be part of a cross-collaborative team responsible for initial concept development, analytical modeling, prototype design, construction, and testing; and it may involve research into Electro-mechanics, Sensor & Communication, and/or Planning & Control.
**Required Skills:**
Research Scientist, Robotics Systems Responsibilities:
1. Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
2. Contribute to publications and open-sourcing efforts
3. Work with a large team
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
6. Mentor other team members. Play a significant role in healthy cross-functional collaboration
**Minimum Qualifications:**
Minimum Qualifications:
7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
8. 1+ years experience in Robotics, Electro-Mechanical Design, Sensor & Communications, or a similar field
9. PhD degree or equivalent experience in Robotics, Physical AI, or a similar field
10. Experience designing complex electromechanical assemblies (robotics, automotive, aerospace, industrial automation or a similar domain)
11. Experience with Robotics and consumer electronic product design
12. Experience with more than one of the following: motor design and control, digital control theory, optimization algorithms, feedback control algorithms, chip-level sensor design, gear-ratio optimization, dynamic system ID and machine learning
13. Experience with organizational and analytical skills, driving technical strategy and execution in a fast-paced, high ambiguity environment
**Preferred Qualifications:**
Preferred Qualifications:
14. Experience working in CM, JDM, and ODM/OEM development models.
15. Proficient in C++ or Python programming.
16. Experience in Machine Learning tools.
17. Experience with automation equipment design and custom machine builds.
18. Experience with simulation tools conducting Finite element analysis: Structural, Modal.
19. Experience with manufacturing processes and materials.
20. Experience in developing power electronics components for robotics systems (battery, power management circuit, and motor driver - field oriented control).
21. Extensive knowledge of traditional mass production manufacturing processes, including the potentials and limitations of injection molding, metal injection molding, CNC, sheet metal, elastomer compression molding, die casting, thixomolding, multi-layer board fabrication, surface mount technology, and/or flexible printed circuit fabrication.
22. Experience in statistical process control.
23. Experience in Convex Optimization tools and theories.
24. Experience collaborating closely with a cross-functional team of scientists & engineers to deliver technical solutions to novel problems, communicating and collaborating across disciplines.
25. Experience with SOLIDWORKS, Siemens NX or similar CAD tools.
**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

**Summary:**
At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world. We're seeking Research Scientists ready to use their skills in system design and modeling and with a knowledge of a wide variety of components and technologies. These roles will require research and problem-solving skills, as well as fabrication and prototyping to design, develop, and construct novel prototypes and architectures. These roles will work in a focused incubation team and collaborate with a large and wide-ranging set of scientists and engineers in the greater organization.
**Required Skills:**
AI Research Scientist, Robotics Responsibilities:
1. Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
2. Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc)
3. Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
4. Develop algorithms based on state-of-the-art machine learning and neural network methodologies
5. Define, build and benchmark new functionalities needed for the next generation of AI
6. Conduct research towards long-term product goals while identifying intermediate milestones
7. Lead, plan, and execute novel research based on long-term objectives of the organization
**Minimum Qualifications:**
Minimum Qualifications:
8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
9. PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
10. Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or LLMs
11. 2+ years of industry experience in relevant robotics related research areas, such as: VLM, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
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. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.
14. Experience working with robot simulations and real-world hardware.
15. Experience working and communicating cross functionally in a team environment.
16. 5+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI.
17. 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).
18. Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
19. Experience building systems based on machine learning and/or deep learning methods.
20. Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
21. Experience with deep learning frameworks (such as PyTorch, Tensorflow) and Python.
**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

**Summary:**
At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world. Meta Robotics Studios is seeking a Research Scientist who will do research & applied research to help lead concept innovation, design, development, and prototyping of novel robotics design and development, including electro-mechanical design and/or perception to control problems, as well as complex robotics that balance ergonomics, performance, reliability, and usability while maintaining the highest safety and quality standards. This role will be part of a cross-collaborative team responsible for initial concept development, analytical modeling, prototype design, construction, and testing; and it may involve research into Electro-mechanics, Sensor & Communication, and/or Planning & Control.
**Required Skills:**
Research Scientist, Robotics Systems Responsibilities:
1. Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
2. Contribute to publications and open-sourcing efforts
3. Work with a large team
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
6. Mentor other team members. Play a significant role in healthy cross-functional collaboration
**Minimum Qualifications:**
Minimum Qualifications:
7. 1+ years experience in Robotics, Electro-Mechanical Design, Sensor & Communications, or a similar field
8. Experience designing complex electromechanical assemblies (robotics, automotive, aerospace, industrial automation or a similar domain)
9. Experience with Robotics and consumer electronic product design
10. Experience with more than one of the following: motor design and control, digital control theory, optimization algorithms, feedback control algorithms, chip-level sensor design, gear-ratio optimization, dynamic system ID and machine learning
11. Experience with organizational and analytical skills, driving technical strategy and execution in a fast-paced, high ambiguity environment
**Preferred Qualifications:**
Preferred Qualifications:
12. Experience working in CM, JDM, and ODM/OEM development models.
13. Proficient in C++ or Python programming.
14. Experience in Machine Learning tools.
15. Experience with automation equipment design and custom machine builds.
16. Experience with simulation tools conducting Finite element analysis: Structural, Modal.
17. Experience with manufacturing processes and materials.
18. Experience in developing power electronics components for robotics systems (battery, power management circuit, and motor driver - field oriented control).
19. Extensive knowledge of traditional mass production manufacturing processes, including the potentials and limitations of injection molding, metal injection molding, CNC, sheet metal, elastomer compression molding, die casting, thixomolding, multi-layer board fabrication, surface mount technology, and/or flexible printed circuit fabrication.
20. Experience in statistical process control.
21. Experience in Convex Optimization tools and theories.
22. Experience collaborating closely with a cross-functional team of scientists & engineers to deliver technical solutions to novel problems, communicating and collaborating across disciplines.
23. Experience with SOLIDWORKS, Siemens NX or similar CAD tools.
**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

**Summary:**
The ideal Research Scientist candidate will use their skills in system design and modeling and possess knowledge of a wide variety of components and technologies. These roles will require research and problem-solving skills, as well as fabrication and prototyping to design, develop, and construct novel prototypes and architectures. These roles will work in a focused incubation team and collaborate with a large and wide-ranging set of scientists and engineers in the greater organization.
**Required Skills:**
AI Research Scientist, Robotics Responsibilities:
1. Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
2. Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc)
3. Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
4. Develop algorithms based on state-of-the-art machine learning and neural network methodologies
5. Define, build and benchmark new functionalities needed for the next generation of AI
6. Conduct research towards long-term product goals while identifying intermediate milestones
7. Plan and execute novel research based on long-term objectives of the organization
**Minimum Qualifications:**
Minimum Qualifications:
8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
9. Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
10. Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or LLMs
11. Experience in relevant robotics related research areas, such as: VLM, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
**Preferred Qualifications:**
Preferred Qualifications:
12. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
13. Experience working with robot simulations and real-world hardware
14. Experience working and communicating cross functionally in a team environment
15. 2+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
16. 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)
17. Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
18. Experience building systems based on machine learning and/or deep learning methods
19. Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
20. Experience with deep learning frameworks (such as PyTorch, Tensorflow) and Python
**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

**Summary:**
At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world. Meta Robotics Studios is seeking a Research Scientist who will do research & applied research to help lead concept innovation, design, development, and prototyping of novel robotics design and development, including electro-mechanical design and/or perception to control problems, as well as complex robotics that balance ergonomics, performance, reliability, and usability while maintaining the highest safety and quality standards. This role will be part of a cross-collaborative team responsible for initial concept development, analytical modeling, prototype design, construction, and testing; and it may involve research into Electro-mechanics, Sensor and Communication, and/or Planning and Control.
**Required Skills:**
Research Scientist, Robotics Systems Responsibilities:
1. Conduct research advancing novel robotics design and development, including new components and/or processes that guide toward production-ready systems
2. Drive the Robotics roadmap, exploring forward-looking ways to accelerate novel robotic architectures
3. Design and Development: research mechanical and electrical design and analysis problems for robotics structure, new sensors, mechanisms, power transmissions, communication hardware/firmware and systems integration while balancing ergonomics, performance, reliability
4. Research and design planning and control algorithms for executing actions to motors integrating sensors and actuations, frequently interacting with the Large Model (VLM/VLA) AI team and Mechatronics team
5. Perform experiments of real and simulation robotic systems and debug the supporting parts manufacture, working with internal and external partners to support part fabrication and complex custom sub assembly
6. Assembly of robot: hands-on partnership in the lab integrating research with construction of sub-assemblies into full system-level robot prototypes
7. Failure analysis: build subsystem test fixtures, design tests, create test plans, perform tests, measure and analyze data, and refine design assumptions
8. Develop novel mechanical contact sensors and research to understand the mechanics of materials
9. Develop novel non-contact sensors and research to understand the underlying physics behind the sensors
10. Develop communication hardware and firmware software
11. Research and develop characterization/training sensors and calibration
12. Research and design feedback controllers around the sensors and actuators
13. Research and develop a planning algorithm that involves perception and collision avoidance
**Minimum Qualifications:**
Minimum Qualifications:
14. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
15. 5+ years experience in Robotics, Electro-Mechanical Design, Sensor & Communications, or a similar field
16. PhD degree or equivalent experience in Robotics, Physical AI, or a similar field
17. Experience designing complex electromechanical assemblies (robotics, automotive, aerospace, industrial automation or a similar domain)
18. Experience with Robotics and consumer electronic product design
19. Experience with more than one of the following: motor design and control, digital control theory, optimization algorithms, feedback control algorithms, chip-level sensor design, gear-ratio optimization, dynamic system ID and machine learning
20. Experience with organizational and analytical skills, driving technical strategy and execution in a fast-paced, high ambiguity environment
**Preferred Qualifications:**
Preferred Qualifications:
21. Experience in statistical process control.
22. Experience with SOLIDWORKS, Siemens NX or similar CAD tools.
23. Proficient in C++ or Python programming.
24. Experience with manufacturing processes and materials.
25. Experience working in CM, JDM, and ODM/OEM development models.
26. Experience working closely with a cross-functional team of scientists & engineers to deliver technical solutions to novel problems, communicating and collaborating across disciplines.
27. Experience in developing power electronics components for robotics systems (battery, power management circuit, and motor driver - field oriented control).
28. Extensive knowledge of traditional mass production manufacturing processes, including the potentials and limitations of injection molding, metal injection molding, CNC, sheet metal, elastomer compression molding, die casting, thixomolding, MLBs fabrication, SMT, and/or FPCs fabrication.
29. Experience in Machine Learning tools.
30. Experience with simulation tools conducting Finite element analysis: Structural, Modal.
31. Experience in Convex Optimization tools and theories.
32. Experience with automation equipment design and custom machine builds.
**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

**Summary:**
At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world. We're seeking Research Scientists ready to use their skills in system design and modeling and with a knowledge of a wide variety of components and technologies. These roles will require research and problem-solving skills, as well as fabrication and prototyping to design, develop, and construct novel prototypes and architectures. These roles will work in a focused incubation team and collaborate with a large and wide-ranging set of scientists and engineers in the greater organization.
**Required Skills:**
AI Research Scientist, Robotics Responsibilities:
1. Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
2. Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc)
3. Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
4. Develop algorithms based on state-of-the-art machine learning and neural network methodologies
5. Define, build and benchmark new functionalities needed for the next generation of AI
6. Conduct research towards long-term product goals while identifying intermediate milestones
7. Lead, plan, and execute novel research based on long-term objectives of the organization
**Minimum Qualifications:**
Minimum Qualifications:
8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
9. PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
10. Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or LLMs
11. 2+ years of industry experience in relevant robotics related research areas, such as: VLM, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
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. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.
14. Experience working with robot simulations and real-world hardware.
15. Experience working and communicating cross functionally in a team environment.
16. 5+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI.
17. 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).
18. Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
19. Experience building systems based on machine learning and/or deep learning methods.
20. Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
21. Experience with deep learning frameworks (such as PyTorch, Tensorflow) and Python.
**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

**Summary:**
At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world. The Meta Robotics Studio is seeking a Research Engineer. This role is pivotal in tackling novel mechanical/electrical design problems including designing and developing complex robotics that balance ergonomics, performance, reliability, and usability while maintaining the highest safety and quality standards. This role will be part of a cross-collaborative team responsible for initial concept development, analytical modeling, prototype design, construction, and testing; and it may involve research into Electro-mechanics, Sensor and Communication, and/or Planning and Control.
**Required Skills:**
Research Engineer, Robotics Responsibilities:
1. Design and Development: mechanical and electrical system design and analysis problems for robotics structure, mechanisms, power transmissions, electric components, and systems integration while balancing ergonomics, performance, reliability
2. Supporting parts manufacture: Working with internal/external partners to support part fabrication and complex custom sub assembly
3. Assembly of robot: Hands on work in the lab constructing sub-assemblies to full system level robot prototypes
4. Failure analysis: Build subsystem test fixtures, design tests, create test plans, perform tests, measure and analyze data, and refine design assumptions
5. Collaboration: Work closely with a cross-functional team of engineers to deliver technical solutions
**Minimum Qualifications:**
Minimum Qualifications:
6. 5+ years of experience in Mechanical/Electrical Design Engineering and with experience in Machine Design or Electrical component development
7. Experience designing electromechanical assemblies (robotics, automotive, aerospace, industrial automation)
8. Experience with SOLIDWORKS, Siemens NX or similar CAD tools
9. Experience with prototyping processes and materials
10. Experience with embedded systems and communication protocols
11. Experience in tolerance analysis, geometric dimensioning and tolerancing (GD&T)
12. BS degree or equivalent experience in Mechanical/Electrical Engineering or a related field
**Preferred Qualifications:**
Preferred Qualifications:
13. 3+ years of experience in Mechanical Design Engineering and with experience in Machine Design
14. Experience in Robotics and consumer electronic product design
15. Experience in power electronics and battery management programming
16. Familiarity with traditional mass production manufacturing processes, including injection molding, CNC machining, sheet metal
17. Experience with automation equipment design and custom machine builds
18. Experience with simulation tools conducting finite element analysis: structural and modal
**Public Compensation:**
$170,000/year to $240,000/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