AI Research Scientist, Robotics

• Meta Superintelligence Labs Meta
• 4.0 Menlo Park, CA Job Details $154,000
• $217,000 a year 11 hours ago Qualifications AI models Managing scientific research projects TensorFlow Software engineering Reinforcement learning Patents PyTorch Conference papers Computer vision Software coding Robotics engineering Mid-level AI platforms (beyond public GPTs) Computational framework Machine intelligence Computer vision research Developing large-scale AI models Organizational skills GitHub Participating in conferences Neural networks Open source contribution Machine learning (ML) fundamentals Robot vision Benchmarking Cross-functional collaboration Machine learning frameworks 2 years Cross-functional communication Robot simulation Full Job Description Meta is seeking an AI Research Scientist to join Meta Superintelligence Labs.

Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, robotics, and embodied AI, particularly including areas such as transfer learning, learning from demonstration, reinforcement learning, action-conditioned world models, perception, representation learning, robot control, navigation, mobile manipulation, dexterous manipulation, and vision-language models. You should have a keen interest in producing new, open science to make embodied agents more intelligent. AI Research Scientist, Robotics

• Meta Superintelligence Labs Responsibilities:

  Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence Invent and improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc.) 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 Develop algorithms based on state-of-the-art machine learning and neural network methodologies Define, build, and benchmark new capabilities needed for the next generation of AI Conduct research towards long-term research goals while identifying intermediate milestones Lead, plan, and execute novel research based on long-term objectives of the organization

Minimum Qualifications:

Experience with any of the following research areas: robotics, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, egocentric perception, and/or Large Language Models Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during the employment

Preferred Qualifications:

Experience working and communicating cross-functionally in a team environment 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 Experience with robotics frameworks like ROS, along with experience working with robot simulations and real-world hardware 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 (Neur

IPS, ICML, ICLR

), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV) Experience with deep learning frameworks (such as PyTorch, TensorFlow) and Python Experience building systems based on machine learning and/or deep learning methods Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g., GitHub)

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 . $154,000/year to $217,000/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.