This is a unique opportunity to join a full-stack robotics R&D group where your work will influence materials, sensors, actuators, low-level control, and foundation models for robot learning. The ideal Research Scientist candidate will leverage their practical expertise in robot foundation models, tactile sensing, multimodal learning, and robotics systems to innovate on full-stack systems. This role requires a systems-oriented researcher who can drive technical direction, define strategy for scaling tactile data, and influence how foundation models are built for robotics. You will work in an applied research team and collaborate with robotics researchers, ML engineers, and a wide range of scientists across the organization.

AI Research Scientist, Robotics Responsibilities:

• Drive technical direction for leveraging, adapting, and fine-tuning VLAs or other robotic foundation models within the team
• Define and execute our scaled tactile/multimodal data strategy, including collection, processing, and integration pipelines
• Develop strategies for training and fine-tuning foundation models to effectively leverage tactile sensing data alongside vision, language, and other modalities
• Plan and execute research aligned with long-term organizational objectives while identifying actionable intermediate milestones
• Mentor other researchers and help grow the team's expertise
• Represent the team externally through publications, conference presentations, and partnerships
  
  

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD degree in Artificial Intelligence, Robotics, Machine Learning, or a related field
• Experience with tactile sensing, multimodal learning, or sensor fusion for robotics
• Experience with Vision-Language models (VLMs), Vision-Language-Action models (VLAs), or action-conditioned world models
• Experience in robot learning, reinforcement learning, imitation learning, or sim-to-real transfer
• Experience working and communicating cross-functionally in a team environment
  
  

Preferred Qualifications:

• Track record of impactful work on dexterous manipulation demonstrated through publications, patents, or deployed systems
• 3+ years of industry experience in robot learning, reinforcement learning, world models, or embodied AI
• Hands-on experience with tactile sensors for robotic manipulation
• Demonstrated experience driving technical direction and influence cross-functional teams
• Experience building and scaling data pipelines for robotics or multimodal ML systems
• Systems engineering skills with a track record of building production-quality research infrastructure
• Experience working with simulation frameworks (MuJoCo, Isaac) and real hardware
• Experience with deep learning frameworks (PyTorch, TensorFlow) and Python
• Experience working and communicating cross-functionally in a team environment
  
  

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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 [email protected].

$184,000/year to $257,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.