Research Scientist Intern, Robotics Foundation Models Mid-Training (PhD)

Summary:

Meta Reality Labs Research is a team of researchers and engineers pushing the frontier of AI and robotics. Our team is building the next generation of world action models (WAMs) and vision-language-action models (VLAs) for robotic manipulation. We are seeking a Research Scientist Intern to develop scalable methods for mid-training world action models on large-scale egocentric video and robot data.Interns in this role will conduct fundamental and applied research to advance foundation models for robotics, with a focus on mid-training. You will collaborate with research scientists and engineers to develop new algorithms, build and evaluate model capabilities, and contribute to the next generation of embodied AI.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, Robotics Foundation Models Mid-Training (PhD) Responsibilities:

1. Develop scalable mid-training methods for WAMs using large-scale egocentric video and heterogeneous robot data.

2. Investigate representation and objective design for learning from human egocentric video.

3. Address challenges in training on web-scale, weakly-labeled data, including embodiment and viewpoint gaps, data curation and filtering, and domain mixture weighting.

4. Build efficient training and data pipelines, and study how downstream policy performance scales with dataset size, model capacity, and compute.

5. Design experiments and benchmarks to measure what mid-training contributes, isolating its effect on downstream post-training and generalization across tasks and embodiments.

6. Collaborate with research scientists and engineers to evaluate mid-trained models in simulation and on real robots.

7. Communicate research findings and publish results at leading machine learning, computer vision, and robotics venues.

Minimum Qualifications:

Minimum Qualifications:

1. Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, Robotics, or a related STEM field

2. Research experience in training of video models or robotics foundation models

3. Experience implementing and training deep learning models using Python and PyTorch or a comparable framework

4. Experience designing controlled experiments, analyzing results, and debugging machine learning algorithms

5. Interpersonal experience: cross-group and cross-culture collaboration

6. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:

Preferred Qualifications:

1. Intent to return to degree program after the completion of the internship/co-op

2. Experience training VLAs, WAMs, or other foundation models for embodied decision-making

3. Experience with diffusion or flow-based policies, action-sequence prediction, or action-conditioned world models

4. Hands-on experience with distributed training across multiple GPUs or nodes, including improving training throughput, memory efficiency, and stability

5. Experience evaluating learned policies on physical robots or robotics simulation benchmarks

6. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, and/or accepted papers in top conferences or journals such as NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR, ICCV, ECCV, ACL, etc

Public Compensation:

$7,650/month to $12,667/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 [email protected].