研究科学家实习生，机器人基础模型中期训练

Meta（Meta Platforms）岗位：Research Scientist Intern, Robotics Foundation Models Mid-Training (PhD) Responsibilities

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

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

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

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

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

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

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

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

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

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

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

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

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

Experience evaluating learned policies on physical robots or robotics simulation benchmarks

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

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.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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.

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Take the first step toward a rewarding career at Meta.

Apply now APPLY NOW Find your role Explore jobs that match your skills and experience. Search by technology, team or location to find an opening that’s right for you. View jobs

Recruiters can view your conversations with AI. Using AI is optional and does not impact the outcome of your application process.Learn more about AI usage and settings.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

If you need assistance or an accommodation due to a disability, fill out the Accommodations request form Notice regarding automated employment decision tools in New York City Learn more about this here.

©2026 Meta.

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.

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