Research Scientist Intern, State Estimation for Dexterous Manipulation (PhD)

**Summary:** At Reality Labs Research, our goal is to explore, innovate and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of natural, seamless experiences in XR environments that are effective, enjoyable, and functionally indistinguishable from those in the real world.As a Research Scientist Intern, you will work at the intersection of representation learning, physics-based estimation, and robotic manipulation. Your primary focus will be on developing latent space representations of object physical state with learned, high-dimensional embeddings that can capture time-varying object properties during dexterous manipulation. You will design experiments to validate these representations and demonstrate their value in practical multi-sensory setup and applications.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, State Estimation for Dexterous Manipulation (PhD) Responsibilities: 1. Design and implement latent space representations for object physical state during robotics manipulation tasks that go beyond fixed parameter sets. 2. Design and execute controlled experiments to validate the representation: measuring adaptation speed, property decoding fidelity, and downstream control performance against baselines (no object state, explicit physical parameters, raw sensor history). 3. Benchmark the latent state representation on practical dexterous manipulation tasks. 4. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results. 5. Showcase the value in simulated or physical demos. **Minimum Qualifications:** Minimum Qualifications: 6. Currently has or is in the process of obtaining a Ph.D. degree in Robotics, Machine Learning, Computer Science, or relevant technical field 7. Strong background in representation learning, generative models, or neural implicit representations (e.g., Gaussian splatting, NeRF, structured latent variable models) 8. Experience with physics-based estimation, state estimation, or system identification in robotic or dynamical systems (e.g. Bayesian filtering, online adaptation, or meta-learning for system identification) 9. Experience with Python and PyTorch 10. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 11. Experience with tactile sensing, force/torque sensors, or robot hand manipulation 12. Familiarity with model-based control (MPC), reinforcement learning, or imitation learning for manipulation 13. Experience with Bayesian filtering, online adaptation, or meta-learning for system identification 14. Experience with experimental design and statistical evaluation of robotic systems 15. Experience working and communicating cross functionally in a team environment 16. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI), or similar 17. Intent to return to the degree program after the completion of the internship/co-op **Public Compensation:** $7,650/month to $12,134/month + benefits **Industry:** Internet **Equal Opportunity:** 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 accommodations-ext@meta.com.