Scale AI
Machine Learning Fellow - Human Frontier Collective
United States +1 · Remote · Full-time · Posted Feb 12, 2026
- Location
- United States
Remote (Growth only) - Experience
- Postdoctoral research experience or senior industry experience; no number of years specified.
- Education
- PhD in Machine Learning, Computer Science, or a related field, or postdoctoral research experience or senior industry experience in Machine Learning or a related field.
- Visa sponsorship
- Scale AI does not sponsor visas. Fellows must have or independently obtain full-time work authorization in the US.
About the job
Join Scale AI’s Human Frontier Collective to contribute to selected AI/ML projects and collaborate on research publications shaping frontier AI.
What you'll do
- Build AI safety and policy guardrails; design, review, and optimize PyTorch models and evaluate ML code and AI-generated implementations.
- Take on matched projects such as evaluating AI models, designing experiments, or building RL environments.
- Collaborate with Scale’s research team to co-author technical reports and research papers.
What they ask for
- PhD or postdoctoral research experience in Machine Learning, Computer Science, or a related field, or senior industry experience in Machine Learning or a related field.
- Strong proficiency in Python and modern ML frameworks, including PyTorch or TensorFlow.
- Full-time work authorization in the US, obtained independently; visa sponsorship is not offered.
Nice to have
- Experience with cloud infrastructure (AWS), MLOps tools (Docker), or LLM frameworks (LangChain).
Tools
Python, PyTorch, TensorFlow, AWS, Docker, LangChain
AI focus
Applied AI research, including AI safety and policy guardrails, model evaluation, ML workflows, and research publications.
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