Responsibilities
- Lead, collaborate, and execute on research that pushes forward the state of the art in 3D computer vision, embodied reasoning, and/or predictive world modeling
- Directly contribute to experiments, including designing experimental details, authoring reusable code, running evaluations, and organizing results
- Work with the team to design practical experiments and prototype systems related to dynamic scene modeling, long-horizon reasoning, and machine perception
- Contribute to publications and open-sourcing efforts
- Help identify long-term ambitious research goals as well as intermediate milestones
Basic qualifications
- Currently has or is in the process of obtaining a PhD in the field of Computer Vision, Robotics, AI, Computer Science, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Experience communicating research for public audiences of peers
- Experience with real-world system building and data collection, including design, coding, and evaluation with modern ML methods
- Research experience involving 3D Computer Vision, Deep Learning, or Reinforcement Learning—specifically related to scene understanding, generative modeling, autonomous agents, or robotic control
- Experience in developing and debugging in C/C++, Python, or Rust
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred qualifications
- Hands-on experience implementing 3D computer vision algorithms and training/evaluating large-scale ML/AI models
- Familiarity with Reinforcement Learning (RL), VLAs, control theory, or learning-based planning
- Experience bridging the gap between perception and action (e.g., Active Vision, Embodied AI, Inverse RL, or RLHF)
- Experience with physics simulators or synthetic environments (e.g., Habitat, MuJoCo, Isaac Lab)
- Experience working in a Unix environment
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g., GitHub)
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals, or conferences such as CVPR, CoRL, ICRA, RSS, NeurIPS, ECCV, ICCV, IROS, or similar
About the company
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.