Machine Learning Fellow - Human Frontier Collective (Canada)
Scale AI · Canada · Remote (Growth only)
CHECKED 15H AGO
Infrastructureremotesenior
At a glance
Highlights
- Shape how frontier AI systems are built, evaluated, and governed.
- Design experiments and build RL environments for AI models.
- Co-author research publications boosting academic visibility.
What they offer
- Access to interdisciplinary expert network, newsletters and discussion channels
- Virtual sessions and IRL events
- Co-author research publications with Scale's research team
- Flexible schedule with no minimum commitment
- Competitive project-based pay
Ideal candidate
PhD-level ML researcher or senior practitioner passionate about applied AI and human-centered frontier systems. Detail-oriented innovator who thrives collaborating across disciplines to advance AI safety and real-world impact.
Requirements
- PhD or postdoctoral research in Machine Learning, Computer Science or related field, or senior industry ML experience
- Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow)
- Experience with AWS, Docker and LangChain is a plus
- Detail-oriented, innovative thinker passionate about applied AI research and collaboration
- remote policy
- Fully remote with flexible schedule, no fixed end date
- visa sponsorship
- No visa sponsorship
- hiring process
- Rolling application review followed by interview on research experience and mission alignment
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