5,840 Robotics Research jobs in the United States
Electrical Engineer - Robotics Research
94010
Meta
Posted today
Job Viewed
Job Description
**Summary:**
At Meta Reality Labs we aim to bring together the brightest cross-disciplinary minds in one place to deliver on our mission: build tools that help people feel connected, anytime, anywhere. As an Electrical Engineer on the AR, MR, or New Technology Team, you will design, build, and test prototype electrical systems for future consumer experiences within Facebook's Family of Products. You will become part of a team exploring new concepts through fast iterative prototyping. You will work cross-functionally with teams that will dynamically change depending on the problem and potentially include mechanical, optical, firmware, software, and research experts. We want people who work well in teams, can take a board definition and implement with electrical schematic and layout, and can transition these designs into a high-volume consumer product. This team develops high volume consumer products and develops technology leading prototypes to inform Reality Lab's roadmap. Our team designs mixed domain high-speed digital circuit boards, an experienced troubleshooter at the board and system level, and has familiarity with consumer product development processes. In the role you will be working with emerging technologies across the AR/MR space with the opportunity to learn from the industry leaders and help Meta achieve its goal of helping people feel connected, anytime, anywhere.
**Required Skills:**
Electrical Engineer - Robotics Research Responsibilities:
1. Own electrical development of highly complex systems delivering and ensuring that electrical systems achieve product goals
2. Lead electrical architecture definition or provide technical leadership to a larger development team
3. Design schematics, direct board layout, lead cross-functional design reviews and draft design documentations
4. Conduct feasibility studies and analysis to evaluate new technologies and components. Propose innovative solutions to enhance product performance and features
5. Manage bring up and debug, support manufacturing and assembly build
6. Collaborate in a team environment and work across engineering disciplines to develop systems and manage trade offs across electronics, mechanics, optics, sensors, haptics, firmware and software
7. Work in distributed team environment
8. Contribute to building and sustaining internal community through recruitment and mentorship
9. Inform prioritization of work across teams and disciplines and actively participate in resolving technical conflicts
10. Travel both domestically and internationally
**Minimum Qualifications:**
Minimum Qualifications:
11. 8+ years of industry experience in electrical design
12. BS in Electrical Engineering or Computer Engineering, or equivalent industry experience
13. Proven knowledge of electrical engineering fundamentals
14. Experience with schematic and board design using Cadence OrCAD, Altium or equivalent
15. Experience with use of oscilloscopes, high speed digital test equipment, logic analyzers, or function generators
16. Experience working with multiple of these technologies: digital signal processing, real-time image processing, display engineering, camera modules, mobile SoC (System on Chip) and PMIC (Power Management Integrated Circuit) or Battery Management System
17. Experience leading technical teams, cross-functional groups and vendors against project plans
**Preferred Qualifications:**
Preferred Qualifications:
18. MS or PHD in Electrical Engineering or Computer Engineering
19. Experience with high speed signaling over MIPI C-PHY/D-PHY, PCIe, USB SS and UFS
20. Experience with IMUs/sensor physical sensor systems with an understanding of calibration methods
21. Experience with camera systems
22. Experience with new technology development
23. Experience with advanced consumer device packaging techniques
24. Experience programming in languages like Python or C/C++
**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
At Meta Reality Labs we aim to bring together the brightest cross-disciplinary minds in one place to deliver on our mission: build tools that help people feel connected, anytime, anywhere. As an Electrical Engineer on the AR, MR, or New Technology Team, you will design, build, and test prototype electrical systems for future consumer experiences within Facebook's Family of Products. You will become part of a team exploring new concepts through fast iterative prototyping. You will work cross-functionally with teams that will dynamically change depending on the problem and potentially include mechanical, optical, firmware, software, and research experts. We want people who work well in teams, can take a board definition and implement with electrical schematic and layout, and can transition these designs into a high-volume consumer product. This team develops high volume consumer products and develops technology leading prototypes to inform Reality Lab's roadmap. Our team designs mixed domain high-speed digital circuit boards, an experienced troubleshooter at the board and system level, and has familiarity with consumer product development processes. In the role you will be working with emerging technologies across the AR/MR space with the opportunity to learn from the industry leaders and help Meta achieve its goal of helping people feel connected, anytime, anywhere.
**Required Skills:**
Electrical Engineer - Robotics Research Responsibilities:
1. Own electrical development of highly complex systems delivering and ensuring that electrical systems achieve product goals
2. Lead electrical architecture definition or provide technical leadership to a larger development team
3. Design schematics, direct board layout, lead cross-functional design reviews and draft design documentations
4. Conduct feasibility studies and analysis to evaluate new technologies and components. Propose innovative solutions to enhance product performance and features
5. Manage bring up and debug, support manufacturing and assembly build
6. Collaborate in a team environment and work across engineering disciplines to develop systems and manage trade offs across electronics, mechanics, optics, sensors, haptics, firmware and software
7. Work in distributed team environment
8. Contribute to building and sustaining internal community through recruitment and mentorship
9. Inform prioritization of work across teams and disciplines and actively participate in resolving technical conflicts
10. Travel both domestically and internationally
**Minimum Qualifications:**
Minimum Qualifications:
11. 8+ years of industry experience in electrical design
12. BS in Electrical Engineering or Computer Engineering, or equivalent industry experience
13. Proven knowledge of electrical engineering fundamentals
14. Experience with schematic and board design using Cadence OrCAD, Altium or equivalent
15. Experience with use of oscilloscopes, high speed digital test equipment, logic analyzers, or function generators
16. Experience working with multiple of these technologies: digital signal processing, real-time image processing, display engineering, camera modules, mobile SoC (System on Chip) and PMIC (Power Management Integrated Circuit) or Battery Management System
17. Experience leading technical teams, cross-functional groups and vendors against project plans
**Preferred Qualifications:**
Preferred Qualifications:
18. MS or PHD in Electrical Engineering or Computer Engineering
19. Experience with high speed signaling over MIPI C-PHY/D-PHY, PCIe, USB SS and UFS
20. Experience with IMUs/sensor physical sensor systems with an understanding of calibration methods
21. Experience with camera systems
22. Experience with new technology development
23. Experience with advanced consumer device packaging techniques
24. Experience programming in languages like Python or C/C++
**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
View Now
0
Electrical Engineer - Robotics Research
98073 Snoqualmie, Washington
Meta
Posted 4 days ago
Job Viewed
Job Description
**Summary:**
At Meta Reality Labs we aim to bring together the brightest cross-disciplinary minds in one place to deliver on our mission: build tools that help people feel connected, anytime, anywhere. As an Electrical Engineer on the AR, MR, or New Technology Team, you will design, build, and test prototype electrical systems for future consumer experiences within Facebook's Family of Products. You will become part of a team exploring new concepts through fast iterative prototyping. You will work cross-functionally with teams that will dynamically change depending on the problem and potentially include mechanical, optical, firmware, software, and research experts. We want people who work well in teams, can take a board definition and implement with electrical schematic and layout, and can transition these designs into a high-volume consumer product. This team develops high volume consumer products and develops technology leading prototypes to inform Reality Lab's roadmap. Our team designs mixed domain high-speed digital circuit boards, an experienced troubleshooter at the board and system level, and has familiarity with consumer product development processes. In the role you will be working with emerging technologies across the AR/MR space with the opportunity to learn from the industry leaders and help Meta achieve its goal of helping people feel connected, anytime, anywhere.
**Required Skills:**
Electrical Engineer - Robotics Research Responsibilities:
1. Own electrical development of highly complex systems delivering and ensuring that electrical systems achieve product goals
2. Lead electrical architecture definition or provide technical leadership to a larger development team
3. Design schematics, direct board layout, lead cross-functional design reviews and draft design documentations
4. Conduct feasibility studies and analysis to evaluate new technologies and components. Propose innovative solutions to enhance product performance and features
5. Manage bring up and debug, support manufacturing and assembly build
6. Collaborate in a team environment and work across engineering disciplines to develop systems and manage trade offs across electronics, mechanics, optics, sensors, haptics, firmware and software
7. Work in distributed team environment
8. Contribute to building and sustaining internal community through recruitment and mentorship
9. Inform prioritization of work across teams and disciplines and actively participate in resolving technical conflicts
10. Travel both domestically and internationally
**Minimum Qualifications:**
Minimum Qualifications:
11. 8+ years of industry experience in electrical design
12. BS in Electrical Engineering or Computer Engineering, or equivalent industry experience
13. Proven knowledge of electrical engineering fundamentals
14. Experience with schematic and board design using Cadence OrCAD, Altium or equivalent
15. Experience with use of oscilloscopes, high speed digital test equipment, logic analyzers, or function generators
16. Experience working with multiple of these technologies: digital signal processing, real-time image processing, display engineering, camera modules, mobile SoC (System on Chip) and PMIC (Power Management Integrated Circuit) or Battery Management System
17. Experience leading technical teams, cross-functional groups and vendors against project plans
**Preferred Qualifications:**
Preferred Qualifications:
18. MS or PHD in Electrical Engineering or Computer Engineering
19. Experience with high speed signaling over MIPI C-PHY/D-PHY, PCIe, USB SS and UFS
20. Experience with IMUs/sensor physical sensor systems with an understanding of calibration methods
21. Experience with camera systems
22. Experience with new technology development
23. Experience with advanced consumer device packaging techniques
24. Experience programming in languages like Python or C/C++
**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
At Meta Reality Labs we aim to bring together the brightest cross-disciplinary minds in one place to deliver on our mission: build tools that help people feel connected, anytime, anywhere. As an Electrical Engineer on the AR, MR, or New Technology Team, you will design, build, and test prototype electrical systems for future consumer experiences within Facebook's Family of Products. You will become part of a team exploring new concepts through fast iterative prototyping. You will work cross-functionally with teams that will dynamically change depending on the problem and potentially include mechanical, optical, firmware, software, and research experts. We want people who work well in teams, can take a board definition and implement with electrical schematic and layout, and can transition these designs into a high-volume consumer product. This team develops high volume consumer products and develops technology leading prototypes to inform Reality Lab's roadmap. Our team designs mixed domain high-speed digital circuit boards, an experienced troubleshooter at the board and system level, and has familiarity with consumer product development processes. In the role you will be working with emerging technologies across the AR/MR space with the opportunity to learn from the industry leaders and help Meta achieve its goal of helping people feel connected, anytime, anywhere.
**Required Skills:**
Electrical Engineer - Robotics Research Responsibilities:
1. Own electrical development of highly complex systems delivering and ensuring that electrical systems achieve product goals
2. Lead electrical architecture definition or provide technical leadership to a larger development team
3. Design schematics, direct board layout, lead cross-functional design reviews and draft design documentations
4. Conduct feasibility studies and analysis to evaluate new technologies and components. Propose innovative solutions to enhance product performance and features
5. Manage bring up and debug, support manufacturing and assembly build
6. Collaborate in a team environment and work across engineering disciplines to develop systems and manage trade offs across electronics, mechanics, optics, sensors, haptics, firmware and software
7. Work in distributed team environment
8. Contribute to building and sustaining internal community through recruitment and mentorship
9. Inform prioritization of work across teams and disciplines and actively participate in resolving technical conflicts
10. Travel both domestically and internationally
**Minimum Qualifications:**
Minimum Qualifications:
11. 8+ years of industry experience in electrical design
12. BS in Electrical Engineering or Computer Engineering, or equivalent industry experience
13. Proven knowledge of electrical engineering fundamentals
14. Experience with schematic and board design using Cadence OrCAD, Altium or equivalent
15. Experience with use of oscilloscopes, high speed digital test equipment, logic analyzers, or function generators
16. Experience working with multiple of these technologies: digital signal processing, real-time image processing, display engineering, camera modules, mobile SoC (System on Chip) and PMIC (Power Management Integrated Circuit) or Battery Management System
17. Experience leading technical teams, cross-functional groups and vendors against project plans
**Preferred Qualifications:**
Preferred Qualifications:
18. MS or PHD in Electrical Engineering or Computer Engineering
19. Experience with high speed signaling over MIPI C-PHY/D-PHY, PCIe, USB SS and UFS
20. Experience with IMUs/sensor physical sensor systems with an understanding of calibration methods
21. Experience with camera systems
22. Experience with new technology development
23. Experience with advanced consumer device packaging techniques
24. Experience programming in languages like Python or C/C++
**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
View Now
1
Staff AI Robotics Research Engineer (San Francisco)
94110 San Francisco, California
Nimble
Posted 12 days ago
Job Viewed
Job Description
Join to apply for the Staff AI Robotics Research Engineer role at Nimble
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Join to apply for the Staff AI Robotics Research Engineer role at Nimble
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About Nimble
Nimble is a robotics and AI company inventing and scaling autonomous logistics with intelligent robots to enable fast, efficient, and sustainable commerce. Were developing generalized robot intelligence and building general-purpose mobile manipulator robots, the first in the world capable of performing all core warehouse functions. We've recently closed a $106M Series C funding round at a $ billion valuation and we're continuing to grow our all-star team.
About Nimble
Nimble is a robotics and AI company inventing and scaling autonomous logistics with intelligent robots to enable fast, efficient, and sustainable commerce. Were developing generalized robot intelligence and building general-purpose mobile manipulator robots, the first in the world capable of performing all core warehouse functions. We've recently closed a 106M Series C funding round at a 1 billion valuation and we're continuing to grow our all-star team.
Our mission is to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial.
Our long-term vision is to invent the Autonomous Supply Chain everything from the inside of factories and warehouses to your front door using next-gen intelligent robotics to deliver faster, more efficient, and more sustainable commerce.
We were founded from the AI labs at Stanford and Carnegie Mellon. Were backed by the Worlds most prestigious investors and Nimbles Board of Directors includes AI and robotics legends like like Marc Raibert (Founder of Boston Dynamics), Fei-Fei Li (Chief Scientist of AI at Google, Director of Stanfords AI lab), and Sebastian Thrun (Founder of Google X, Waymo, Kitty Hawk, and Udacity)!
Join us to leave your mark on the future of robotics, AI, and logistics!
Link: Introducing Nimble Intelligent Fulfillment Robots at Scale
Why Join Nimble?
At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.
Nimble's Core Values
Be relentlessly resourceful - Challenge the status quo. Make the impossible, possible. Do whatever it takes.
Be legendary - Be the best at whatever it is that you do. Leave your mark. Motivate and inspire others.
Be humble - Leave your ego behind. Have a growth mindset. Learn and improve yourself every day.
Be dependable - Take ownership and deliver. Be loyal to your team and Nimble's mission.
The Role
Nimble is looking for a Staff AI Research Engineers to help us advance our robotics moonshot by designing, developing, training, and implementing robotic foundation models, Vision-Language-Action Models, general-purpose robotic AI models, and reinforcement learning algorithms controlling multi-agent robot fleets.
You will play a critical role in working with our all-star cross-functional team to build models with immediate applications for the worlds biggest robotics opportunity.
Responsibilities
- Develop and train diffusion policies, VLMs, multi-agent deep RL policies and more
- Develop data collection pipelines
- Design data annotation and labeling
- Support implementation of models into production systems
- P.h.D in Robotics or Computer Science
- Experience training deep learning models for robotic manipulation or mobility
- Experience working with real robotic hardware
- Experience training models in simulation and developing simulation environments
- Experience collecting custom datasets
- Experience training on open-source datasets
- Strong track record of publishing papers and/or deploying real-world applications
- Experience with system architecture, design and development
- Must be able to work extended hours and weekends as needed
- Must be able to work in San Francisco
Culture
We embrace challenges and strive to make the impossible possible each day. Were not in this to do whats easy or to be mediocre. We want to create something legendary and leave our mark on the world. Were ambitious, were gritty, were humble and were relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit!
Press
Link: Nimble Closes 106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx
Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance
Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws.
Nimble's Benefits
Paid Time Off
Enjoy the time you need to travel, rejuvenate, and connect with friends and family.
Health Insurance
Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.
Paid Parental Leave
Enjoy paid bonding time following a birth.
Commuter Benefits
Take the stress out of commuting with access to fully-paid parking spots.
Referral Bonus
Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring.
401k
Contribute towards a 401k for retirement planning.
Equity
Be an owner in Nimble through our equity program Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Transportation, Logistics, Supply Chain and Storage
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2
Staff AI Robotics Research Engineer (San Francisco)
94110 San Francisco, California
Nimble Robotics
Posted 12 days ago
Job Viewed
Job Description
About Nimble
Nimble is a robotics and AI company inventing and scaling autonomous logistics with intelligent robots to enable fast, efficient, and sustainable commerce. Were developing generalized robot intelligence and building general-purpose mobile manipulator robots, the first in the world capable of performing all core warehouse functions. We've recently closed a $106M Series C funding round at a $ billion valuation and we're continuing to grow our all-star team.
Our mission is to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial.
Our long-term vision is to invent the Autonomous Supply Chain everything from the inside of factories and warehouses to your front door using next-gen intelligent robotics to deliver faster, more efficient, and more sustainable commerce.
We were founded from the AI labs at Stanford and Carnegie Mellon. Were backed by the Worlds most prestigious investors and Nimbles Board of Directors includes AI and robotics legends like like Marc Raibert (Founder of Boston Dynamics), Fei-Fei Li (Chief Scientist of AI at Google, Director of Stanfords AI lab), and Sebastian Thrun (Founder of Google X, Waymo, Kitty Hawk, and Udacity)!
Join us to leave your mark on the future of robotics, AI, and logistics!
Link: Introducing Nimble Intelligent Fulfillment Robots at Scale
Why Join Nimble?
At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.
Nimble's Core Values:
Be relentlessly resourceful - Challenge the status quo. Make the impossible, possible. Do whatever it takes.
Be legendary - Be the best at whatever it is that you do. Leave your mark. Motivate and inspire others.
Be humble - Leave your ego behind. Have a growth mindset. Learn and improve yourself every day.
Be dependable - Take ownership and deliver. Be loyal to your team and Nimble's mission.
The Role
Nimble is looking for a Staff AI Research Engineers to help us advance our robotics moonshot by designing, developing, training, and implementing robotic foundation models, Vision-Language-Action Models, general-purpose robotic AI models, and reinforcement learning algorithms controlling multi-agent robot fleets.
You will play a critical role in working with our all-star cross-functional team to build models with immediate applications for the worlds biggest robotics opportunity.
Responsibilities- Develop and train diffusion policies, VLMs, multi-agent deep RL policies and more
- Develop data collection pipelines
- Design data annotation and labeling
- Support implementation of models into production systems
- P.h.D in Robotics or Computer Science
- Experience training deep learning models for robotic manipulation or mobility
- Experience working with real robotic hardware
- Experience training models in simulation and developing simulation environments
- Experience collecting custom datasets
- Experience training on open-source datasets
- Strong track record of publishing papers and/or deploying real-world applications
- Experience with system architecture, design and development
- Must be able to work extended hours and weekends as needed
- Must be able to work in San Francisco
220,000 - 280,000 a year
Culture:
We embrace challenges and strive to make the impossible possible each day. Were not in this to do whats easy or to be mediocre. We want to create something legendary and leave our mark on the world. Were ambitious, were gritty, were humble and were relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit!
Press:
Link: Nimble Closes 106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx
Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance
Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws.
Nimble's Benefits
Paid Time Off
Enjoy the time you need to travel, rejuvenate, and connect with friends and family.
Health Insurance
Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.
Paid Parental Leave
Enjoy paid bonding time following a birth.
Commuter Benefits
Take the stress out of commuting with access to fully-paid parking spots.
Referral Bonus
Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring.
401k
Contribute towards a 401k for retirement planning.
Equity
Be an owner in Nimble through our equity program
#J-18808-Ljbffr
View Now
3
Research Scientist, Robotics
94039 Mountainview, California
Google
Posted today
Job Viewed
Job Description
Snapshot
Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
About Us
We are looking for Research Scientists to join the Robotics team whose mission is to build "Embodied AI" - a robot brain capable of whole-body, dexterous, general and useful physical actions - to improve the lives of billions of people in the physical world.
The Role
Research Scientists work on a diverse and stimulating range of projects including: inventing algorithms and prototype applications, working with real robots in the lab and outside the lab tackling real world use cases. Research Scientists work in large collaborative teams to make cutting edge breakthroughs to advance Robotics AI. We believe large foundation models will transform general purpose Robotics like with our Gemini Robotics models. This role will involve working with a diverse multi-functional team that builds the future of robotics.
Key responsibilities:
+ Design, implement, train and evaluate large models and algorithms for robotic agents. Make breakthroughs and unlock new robot capabilities.
+ Write software to implement research ideas and iterate quickly.
+ Leverage your expertise to participate in a wide variety of research: learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots and more.
+ Work effectively with a large collaborative team with fast-paced agendas to meet ambitious research goals.
+ Generate creative ideas, set up experiments and test hypotheses. Report and present research findings clearly and efficiently both internally and externally.
About You
In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:
+ PhD in a technical field or equivalent practical experience.
+ Knowledge of the latest in large machine learning research.
In addition, the following would be an advantage:
+ Experience working with simulators and real-world robots.
+ Expertise in using large datasets with deep neural networks to make real robots useful.
+ A real passion for AI impacting real world robots!
The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
About Us
We are looking for Research Scientists to join the Robotics team whose mission is to build "Embodied AI" - a robot brain capable of whole-body, dexterous, general and useful physical actions - to improve the lives of billions of people in the physical world.
The Role
Research Scientists work on a diverse and stimulating range of projects including: inventing algorithms and prototype applications, working with real robots in the lab and outside the lab tackling real world use cases. Research Scientists work in large collaborative teams to make cutting edge breakthroughs to advance Robotics AI. We believe large foundation models will transform general purpose Robotics like with our Gemini Robotics models. This role will involve working with a diverse multi-functional team that builds the future of robotics.
Key responsibilities:
+ Design, implement, train and evaluate large models and algorithms for robotic agents. Make breakthroughs and unlock new robot capabilities.
+ Write software to implement research ideas and iterate quickly.
+ Leverage your expertise to participate in a wide variety of research: learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots and more.
+ Work effectively with a large collaborative team with fast-paced agendas to meet ambitious research goals.
+ Generate creative ideas, set up experiments and test hypotheses. Report and present research findings clearly and efficiently both internally and externally.
About You
In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:
+ PhD in a technical field or equivalent practical experience.
+ Knowledge of the latest in large machine learning research.
In addition, the following would be an advantage:
+ Experience working with simulators and real-world robots.
+ Expertise in using large datasets with deep neural networks to make real robots useful.
+ A real passion for AI impacting real world robots!
The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
View Now
4
AI Research Scientist, Robotics
94010
Meta
Posted today
Job Viewed
Job Description
**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
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
View Now
5
Research Scientist, Robotics Systems
94010
Meta
Posted today
Job Viewed
Job Description
**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
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
View Now
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6
Research Scientist, Robotics Systems
94010
Meta
Posted today
Job Viewed
Job Description
**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
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
View Now
7
AI Research Scientist, Robotics
94010
Meta
Posted today
Job Viewed
Job Description
**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
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
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8
Research Scientist, Robotics Systems
98073 Snoqualmie, Washington
Meta
Posted today
Job Viewed
Job Description
**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
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
View Now
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