Mentorship-Driven AI Alignment Research Scientist Intern

Meta; Seattle (WA); On-site; USD 85,000 - 141,000; Full time

Job summary

Meta Fundamental AI Research (FAIR) is seeking Research Scientist Interns to advance the science of AI alignment and ML systems. Interns embed with a world-class, multi-disciplinary team of researchers and engineers to pursue open research questions end to end—from problem framing through experimentation to publication.

Interns drive their own projects with mentorship, not a predefined task list. Internships last 12 to 24 weeks with multiple start dates; applicants from a broad range of

Qualifications

• Ph.D. in Computer Science, ML, AI or related field.
• Work authorization to be eligible to work in the United States.
• Proficiency in Python, C/C++, and at least one of Java.
• Experience with PyTorch or TensorFlow.
• First-author publication in ML/NLP/Systems venues.

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.

Skills

Python

C/C++

Java

Deep learning

Education

Ph.D. in CS/ML/AI

Tools

PyTorch

TensorFlow

Job description

Meta Fundamental AI Research (FAIR) is seeking Research Scientist Interns to advance the science of AI alignment and ML systems. Interns embed with a world-class, multi-disciplinary team of researchers and engineers to pursue open research questions end to end—from problem framing through experimentation to publication.

Interns drive their own projects with mentorship, not a predefined task list. Internships last 12 to 24 weeks with multiple start dates; applicants from a broad range of