Machine Learning Fellow - Human Frontier Collective (UK)

The role

Fellows participate in AI/ML projects including building AI safety and policy guardrails, designing and optimizing PyTorch models, and evaluating ML code. Members may also co-author technical reports and research papers with the Scale research team.

What you will do

• Building AI safety and policy guardrails
• Designing, reviewing, and optimizing PyTorch models
• Evaluating complex ML code and AI-generated implementations
• Evaluating AI models
• Designing experiments
• Building RL environments
• Co-authoring research papers

Required qualifications

• 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 (PyTorch, TensorFlow)
• Detail-oriented
• Innovative thinker
• Commitment to collaboration

Nice to have

• Experience with cloud infrastructure (AWS)
• MLOps tools (Docker)
• LLM frameworks (LangChain)

Benefits

• Access to an interdisciplinary community
• Access to newsletters, discussion channels, virtual sessions, and IRL events

Before you apply

• We do not sponsor visas for Fellows
• You need to have or independently obtain full-time work authorization in the country they reside in
• Candidates will discuss research experience, professional background, and alignment with mission during interview
• 90-day waiting period before reconsidering candidates for the same role

About the company

Scale's mission is to develop reliable AI systems for the world's most important decisions. They provide high-quality data and full-stack technologies to power leading models for enterprises and governments.