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Research Scientist Intern, Egocentric Vision-Language Models (PhD)

Research Scientist Intern, Egocentric Vision-Language Models (PhD)

Posted 111 days ago

Job Description

This job posting has expired and no longer accepting applications.

The Surreal group at Reality Lab Research is seeking outstanding Research Scientist Interns to advance the frontier of egocentric AI. As an intern, you will tackle ambitious research challenges at the intersection of computer vision and natural language, contributing to the development of next-generation intelligent systems. Your research project may cover or relate to the following topics: -Advancing multi-modal understanding and reasoning in AI systems -Developing adaptive intelligent models -Mining temporal patterns in complex data -Designing proactive and context-aware AI models Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 24 consecutive weeks.

Plan and execute innovative research to advance the state-of-the-art in egocentric AI, multi-modal understanding, and long-term reasoning.

Collaborate with researchers and engineers to design, develop, and run experiments and prototype systems that push the boundaries of intelligent egocentric AI systems.

Publish research findings in top-tier conferences and effectively present research outcomes to internal and external audiences.

Minimum Qualifications

Currently has, or is in the process of obtaining a PhD degree in the domain of Computer Vision, Natural Language, Reinforcement Learning or related field

Programming experience in Python, deep learning frameworks such as Pytorch, Jax

Research and/or work experience in machine learning, deep learning, and/or NLP

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as CVPR, ECCV/ICCV, ICLR, ICML, NeurIPS, NAACL, ACL, EMNLP

ECCV/ICCV, ICLR, ICML, NeurIPS, NAACL, ACL, EMNLP. Experience working and communicating cross functionally in a team environment

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

Preferred Qualifications

Experience building systems based on machine learning, reinforcement learning and/or deep learning methods

Demonstrated SWE or research experience via an internship, work experience, coding competitions, widely used contributions in open source repositories (e.g. GitHub), or top-tier publications

Intent to return to a degree-program after the completion of the internship

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

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$7,650/month to $12,134/month + benefits

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.

Equal Employment Opportunity

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.

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