Machine Learning Fellow - Human Frontier Collective (UK)
Scale AI · United Kingdom · Remote (Growth only)
CHECKED 14H AGO
Infrastructureremotesenior
At a glance
Highlights
- Shape frontier AI by building safety and policy guardrails for models.
- Co-author research papers and reports to boost academic visibility.
- Design experiments and build RL environments to evaluate AI models.
What they offer
- Competitive project-based pay with rates varying by project, scope, skillset and location
- Flexible schedule with no minimum commitment
- Access to interdisciplinary expert network, newsletters, discussion channels, virtual sessions and IRL events
- Opportunity to co-author research publications with Scale's research team
Ideal candidate
PhD-level ML researcher or seasoned industry expert who is detail-oriented, innovative and collaborative, passionate about applied AI research and shaping human-centered frontier AI.
Requirements
- PhD or postdoctoral research experience in Machine Learning, Computer Science or related field, or senior industry experience in ML
- 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
- Detail-oriented, innovative thinker with passion for applied AI research and commitment to collaboration
- remote policy
- Fully remote with flexible self-set schedule, typically 10-25 hours per week
- visa sponsorship
- No visa sponsorship
- hiring process
- Apply online with rolling review, interview on research experience and mission alignment (may be waived for direct invites), then invitation to join the Collective.
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta