AI Alignment Research Intern — Build Robust ML

Meta; Menlo Park (CA); On-site; USD 85,000 - 141,000; Full time

Job summary

Meta FAIR is seeking Research Scientist Interns to advance AI alignment and ML systems. Interns lead their own projects with mentorship, spanning from framing to publication, within a world-class research team. Start dates vary and internships last 12–24 weeks, with diverse technical backgrounds encouraged.

The role emphasizes accountable research, cross-functional collaboration, and contributions to Meta products while addressing safety, privacy, and governance aspects.

Qualifications

• Ph.D. in CS/ML/AI or related field with active work authorization.
• Experience with Python, C++, C, Java.
• First-author publication in top ML/NLP venues.
• Experience with PyTorch or TensorFlow.

Responsibilities

• Develop novel algorithms and systems using deep learning techniques.
• Improve efficiency, scalability, stability, fairness, security, and privacy.
• Conduct state-of-the-art ML/AI research and publish results.
• Collaborate with researchers and cross-functional partners; communicate plans and progress.
• Publish research applicable to Meta product development.

Skills

Python

C++

C

Java

ML frameworks

Education

PhD in CS/ML/AI

Tools

PyTorch

TensorFlow

Job description

Meta FAIR is seeking Research Scientist Interns to advance AI alignment and ML systems. Interns lead their own projects with mentorship, spanning from framing to publication, within a world-class research team. Start dates vary and internships last 12–24 weeks, with diverse technical backgrounds encouraged.

The role emphasizes accountable research, cross-functional collaboration, and contributions to Meta products while addressing safety, privacy, and governance aspects.