Research Engineer, Robotics & Embodied AI

Meta; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Meta Reality Labs Research (RL Research) is a team of researchers and engineers pushing the frontier of AI, robotics, and AR/VR technology. We are building the next generation of foundation models for robotic manipulation and seek a Research Engineer to bring these models onto real hardware in our lab.

The role covers the full robotics stack—from hardware bring-up and teleoperation to data collection and running learned policies on real robots—working with scientists to prototype, run

Qualifikationen

• PhD in robotics, computer vision, ML or related field.
• Industry experience with modern, general-purpose robot platforms.
• Hands-on experience bringing up, calibrating, and debugging a new robot platform.
• Experience running learned policies on real robots and improving performance.
• First-author publications at major conferences or open-source contributions.
• Proficient in Python and PyTorch; open-source contributions welcome.
• Trained or evaluated large 3D generative or world models.
• Fluent in ROS/ROS 2 with calibration know-how.

Aufgaben

• Take foundation models onto real hardware in the lab.
• Handle hardware bring-up, teleoperation, data collection, and policy execution.
• Prototype with researchers and engineers; run experiments and diagnose issues.
• Identify problems that appear when models act in the physical world.
• Collaborate on long-horizon planning and 3D computer vision for robots.

Kenntnisse

Python

Machine learning

Robotics

Research

Ausbildung

PhD in robotics, computer vision, ML or related field

Tools

ROS 2

PyTorch

LeRobot

robosuite

ManiSkill

Jobbeschreibung

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.

• Currently has, or is in the process of obtaining, a PhD degree in robotics, computer vision, machine learning, or a related field
• 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 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