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Meta · 1 day ago

Research Intern, AI Systems and Machine Learning (PhD)

Bellevue, WA

Internship

Onsite

Intern

$7,650/mo - $12,134/mo

Meta is a company that builds technologies to help people connect and grow businesses. They are seeking Research Interns to join their Monetization Ranking & AI Foundations team to advance machine learning systems and infrastructures, collaborate with researchers, and publish findings.

Computer Software

Comp. & Benefits

Responsibilities

Conduct state-of-the-art research to advance the science and technology of Machine Learning Systems and Infrastructures in various technology areas, e.g., ranking and retrieval systems, distributed training/inference optimizations

Contribute to research that leads to innovations in scalable machine learning systems, resource-efficient AI and neural network architectures for data and algorithm scaling, memory/communication and energy-efficient AI systems, and hardware/software co-design, AI-driven compiler, system design and performance optimization, etc

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

Machine LearningDeep LearningPythonC++Real-system implementationsResearch publicationAnalytical problem solvingTeam collaboration

Required

Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Systems, Artificial Intelligence, Computer Science, or related fields

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

Experience with Python, C++, C, or other related languages

Experience in real-system implementations (e.g., GPU, NPU)

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

Preferred

Intent to return to the 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, MLSys, ISCA, ASPLOS, CGO, PLDI, PACT, HPCA, MICRO, 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 working and communicating cross functionally in a team environment