Meta（Meta Platforms）岗位：Research Scientist Intern, Foundational Models for Robotics Research (PhD) Responsibilities
Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques to robotics.
Based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
Perform research to advance the science and technology of intelligent machines.
Perform research that enables learning the semantics of and training generative models of data (images, video, 3D, text, audio, and other modalities).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Disseminate research results.
When applicable, contribute to research that can be applied to Meta product development.
Minimum Qualifications
Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Generative AI, Robotics, or relevant technical field
Experience with Python, C++, C, or other related languages
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Experience building systems based on machine learning and/or deep learning methods
Preferred Qualifications
Intent to return to the degree program after the completion of the internship/co-op
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, ECCV, or similar
Experience working and communicating cross functionally in a team environment
Experience in advancing AI techniques, including core contributions to open source libraries and frameworks
Publications or experience in machine learning, deep learning, multimodal learning, generative modeling, or robotics
Experience solving analytical problems using quantitative approaches
Experience setting up ML experiments and analyzing their results
Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
Experience in utilizing theoretical and empirical research to solve problems
Experience with deep learning frameworks
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For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America:$7,650/month to $12,667/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.
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You may view our Equal Employment Opportunity notice here.
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If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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Equal Employment Opportunity Metais proud to be an Equal Employment Opportunity employer.
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