• Research Scientist Intern, Vision-Language…

    Meta (Redmond, WA)


    Summary:

    Reality Labs Research is seeking a Research Scientist Intern to help develop the next generation of assistance systems that guide users in contextual and adaptive environments. We welcome candidates with expertise in embodied AI, reinforcement learning, planning, multimodal learning, vision-language models, LLM interpretability, world model learning, and pose estimation (including hand and object pose).Our internships are twelve (12) to twenty-four (24) weeks long, with various start dates throughout the year.

    Required Skills:

    Research Scientist Intern, Vision-Language and Embodied AI (PhD) Responsibilities:

    1. Plan and execute cutting-edge research on embodied AI algorithms, assistance policies, vision-language models, and world model learning for complex, real-world interaction tasks.

    2. Develop, implement, and evaluate methods for improving the performance and interpretability of VLMs and related AI/ML models.

    3. Leverage state-of-the-art simulators, RL/DRL, neuro-symbolic, AI planning, robotics, stochastic programming, and multimodal learning methods.

    4. Write modular, reusable research code and utilize Meta’s large infrastructure to scale experimentation.

    5. Collaborate cross-functionally with researchers and engineers to prototype and test models at scale.

    6. Deliver clear, compelling, and creative solutions to challenging problems.

    7. Work should result in publishable research in top-tier journals or conferences (e.g., NeurIPS, ICLR, CVPR, ECCV, ICML, ICCV, AAAI, IJCAI, ICRA, IEEE T-PAMI, IJCV, IEEE RA-L etc.).

    Minimum Qualifications:

    Minimum Qualifications:

    8. Currently has, or is in the process of obtaining, a PhD in Machine Learning, Artificial Intelligence, Computer Vision, Robotics, Speech Processing, Applied Statistics, Computational Neuroscience, Algorithms, Computational Mathematics, or a related field

    9. Proven research skills: problem definition, solution exploration, analysis, and presentation of results

    10. 2+ years of experience in Python and machine learning libraries (Numpy, Scikit-Learn, Scipy, Pandas, Matplotlib, Tensorflow, Pytorch)

    11. Understanding of at least one of the following: embodied AI, reinforcement learning, planning, transfer/few-shot/zero-shot/continual/online learning, self-supervised learning, multi/cross-modal learning, vision-language models, LLM interpretability, world model learning, hand pose estimation, or object pose estimation

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

    Preferred Qualifications:

    Preferred Qualifications:

    13. Proven track record of significant results: grants, fellowships, patents, and first-authored publications at leading workshops or conferences (e.g., NeurIPS, ICLR, CVPR, ECCV, ICML, ICCV, AAAI, IJCAI, ICRA, IEEE T-PAMI, IJCV, IEEE RA-L etc.)

    14. Experience with VLM/LLM training/fine-tuning and solving traditional CV problems (e.g., hand/body pose estimation, object pose estimation, image classification/segmentation, image/video understanding, 3D scene reconstruction)

    15. Experience working and communicating cross-functionally in a team environment

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

    17. Availability for minimum 16 consecutive week internship

    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 [email protected].