Research Scientist Intern, AI Core Machine Learning (PhD) jobs in United States
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Meta · 2 weeks ago

Research Scientist Intern, AI Core Machine Learning (PhD)

Meta is a company focused on helping people connect and share through innovative technologies. They are seeking Research Interns to join their Monetization Ranking & AI Foundations team, where the main purpose is to advance artificial intelligence and machine learning technologies for personalized advertising. Interns will conduct research, develop algorithms, and collaborate with other researchers and engineers to integrate innovations into Meta's products.

Computer Software
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Comp. & Benefits

Responsibilities

Conduct state-of-the-art research to advance the science and technology of Machine Learning and Artificial Intelligence
Develop novel algorithms and corresponding systems, leveraging various AI and ML techniques
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms
Collaborate with researchers and engineers across varied disciplines, including communicating research plans, progress, and results
Publish research results and contribute to research that can be applied to Meta product development

Qualification

Deep learning frameworksMachine learning systemsPythonC++Research experienceAnalytical problem solvingCross-functional communicationSoftware engineering experienceData manipulation

Required

Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Experience with deep learning frameworks such as Pytorch or Tensorflow
Experience with Python, C++, C, Java, or other related languages
Experience with research and building systems based on machine learning and/or deep learning methods

Preferred

Intent to return to degree program after the completion of the internship/co-op
Proven track record of achieving significant research results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, KDD, IJCAI, CVPR, ICCV, ACL, NAACL, ICASSP, or similar
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources for large-scale training
Experience working and communicating cross functionally in a team environment

Benefits

Benefits

Company

Meta's mission is to build the future of human connection and the technology that makes it possible.

Funding

Current Stage
Late Stage

Leadership Team

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Kathryn Glickman
Director, CEO Communications
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Christine Lu
CTO Business Engineering NA
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