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Meta · 6 hours ago

Research Scientist Intern, AI Alignment

Seattle, WA

Internship

Onsite

Intern

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

Meta is committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning and machine learning to develop novel algorithms and contribute to research that can be applied to Meta product development.

Computer Software

Comp. & Benefits

Responsibilities

Develop novel state-of-the-art algorithms and corresponding systems, leveraging various deep learning techniques

Analyze and improve various aspects of the corresponding algorithms and systems, including efficiency, scalability, stability, fairness, security, and privacy

Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence

Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results

Publish research results and contribute to research that can be applied to Meta product development

Qualification

Deep LearningMachine LearningPythonC++TensorFlowPyTorchAnalytical Problem SolvingSoftware Engineering ExperienceCommunication SkillsTeam Collaboration

Required

Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or relevant technical field

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

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

Experience with deep learning frameworks such as Pytorch or Tensorflow

Preferred

Intent to return to 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 publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, CCS, IEEE S&P, MLSys, or similar

Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches

Experience building large-scale machine learning systems and training with large datasets

Experience communicating complex research in a clear, precise, and actionable manner

Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

Experience working and communicating cross functionally in a team environment