Machine Learning Fellow
Posted 12 Feb 2026
Advertised as “Machine Learning Fellow - Human Frontier Collective”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Contract
- Visa sponsorship
- Not offered
No salary listed for this role.
Field of studyComputer Science, Machine learning (or related)
Study levelDoctorate or higher
About the Collective
The Human Frontier Collective (HFC)’s mission is to bring the world's best minds to shape the future of AI – because the future of AI depends not only on powerful models, but on the people who teach them to think.
We bring together researchers, academics, and domain leaders across 70+ fields – over 90% of members hold doctorates – to shape how frontier AI systems are built, evaluated, and governed. HFC members have since co-authored published work including SciPredict, PropensityBench, and Professional Reasoning Benchmark.
Why join the HFC
HFC centers on three core pillars: the network itself, participation in selected AI/ML projects, and opportunities to publish with our research team.
- Join a unique and exclusive expert network: You’ll become a part of an interdisciplinary community, consisting of over 90% doctorates and field leaders representing 70+ fields from the leading institutions. We’re a collective of top innovators and thought leaders committed to advancing frontier AI to power the world’s most important decisions.
- Participate in AI/ML projects: Beyond the collective network, you’ll be regularly invited to work on high-impact projects with Scale AI and its affiliated lab and platform: building AI safety and policy guardrails, helping models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and more.
- Co-author selected research publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition.
Who should apply
- Background: 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.
- Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow). Experience with cloud infrastructure (AWS) and MLOps tools (Docker) and LLM frameworks (LangChain) is a plus.
- Professional Mindset: Detail-oriented, innovative thinker with a passion for applied AI research and a commitment to collaboration.