研究科学家实习生，高效世界基础模型

Meta（Meta Platforms）岗位：Research Scientist Intern, Efficient World Foundation Models (PhD) Responsibilities

Research on design / model / execution of efficient ML algorithms.

Develop and optimize novel ML, computational imaging, and generative AI algorithms for edge applications.

Research on development and optimization of edge and distributed computing algorithms.

Collaboration with and support of other researchers across various disciplines.

Communication of research agenda, progress and results.

Prototyping, building and characterizing experimental systems with real hardware.

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

2+ years research experience in one or more of the following: developing machine learning and computer vision models, optimization of edge computing algorithms, or distributed compute architectures

Experience in deploying ML algorithms for real-time execution on mobile and distributed platforms

Proven track record of achieving significant results, as demonstrated by first- and/or co-authored publications at leading workshops or conferences (e.g., CVPR, ICCV, TinyML, NeurIPS, ICML), patents, or grants

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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.

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

2+ years research experience in one or more of the following: developing machine learning and computer vision models, optimization of edge computing algorithms,