Research Engineer, Robotics & Embodied AI
Meta Reality Labs Research (RL Research) is a team of researchers and engineers pushing the frontier of AI, robotics, and AR/VR technology. Within RL Research, our team is building the next generation of foundation models (VLAs, WAMs) for robotic manipulation. We are looking for a skilled Research Engineer to take those models onto real hardware in our lab.This role covers the full robotics stack: hardware bring\-up, teleoperation, data collection, and running learned policies on real robots. It involves building prototypes together with research scientists and engineers, running the experiments that show whether they work, and finding the problems that only appear once a model has to act in the physical world.
Research Engineer, Robotics \& Embodied AI Responsibilities:
- Build, operate, and maintain robot platforms for teleoperation and deployment
- Deploy learned policies on real robots and optimize their performance on\-robot
- Work with researchers to design experiments and measure how well policies work on real hardware
- Debug failures across hardware, perception, data, and policies
- Turn research results into working prototypes
- Build tooling that makes experiments repeatable
- Publish research results in top conferences and release code that contributes to the field of robotics
Minimum Qualifications:
- Industry experience with modern, general\-purpose robot platforms
- Hands\-on experience bringing up, calibrating, and debugging a new robot platform from scratch
- Experience running learned policies on real robots and improving their performance
- First\-author publications at ICRA, CoRL, RSS, IROS, or CVPR, or widely used open\-source contributions
- Proficient in Python and PyTorch
Preferred Qualifications:
- Contributed to open\-source robot learning projects such as LeRobot, robosuite, or ManiSkill
- Trained or evaluated large 3D generative or world models
- Built teleoperation rigs and used them to collect robot data at scale
- Debugged policy failures across hardware, data, training, and simulation
- Worked on long\-horizon planning for robots
- Worked on 3D computer vision for robots, such as reconstruction, pose estimation, or scene understanding
- Worked on contact\-rich manipulation, including force or tactile feedback
- Trained or fine\-tuned vision\-language\-action models or world action models
- Fluent in ROS or ROS 2, including kinematics and camera\-to\-robot calibration
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.
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.
Diese Anzeige stammt von Indeed. Originalanzeige ansehen ↗