Research Engineer, Robotics - Meta Superintelligence Labs

Meta is seeking a Robotics and Embodied AI Researcher to join Meta Superintelligence Labs. Individuals in this role are proficient 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.

• Research Engineer, Robotics
• Meta Superintelligence Labs Responsibilities
  Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
  Collaborate with research scientists and engineers to design and implement state-of-the-art AI algorithms and models
  Invent/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
  Build and benchmark new capabilities needed for the next generation of AI
  Conduct research towards long-term research goals while identifying intermediate milestones

Minimum Qualifications:

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field
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
Experience with machine learning models, and frameworks such as Py Torch, Tensor Flow, etc
Proficiency in programming languages such as Python, C++, or similar

Preferred Qualifications:

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)
1+ years of experience in robotics or related field, or advanced degree with equivalent experience
Experience designing and developing new robotic systems, platforms or infrastructure
Experience with robotics frameworks like ROS, along with experience working with robot simulations and real-world hardware
Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward
Experience working and communicating cross functionally in a team environment
Experience building systems based on machine learning and/or deep learning methods
PhD degree in computer science, robotics, AI, or related fields

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 Whats App 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.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $121,992/year to $181,000/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.

Equal Employment Opportunity:

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
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