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Machine Learning Fellow - Human Frontier Collective

Job in Toronto, Ontario, M5A, Canada
Listing for: Scale AI, Inc.
Contract position
Listed on 2026-02-28
Job specializations:
  • Software Development
    AI Engineer, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80 - 100 CAD Hourly CAD 80.00 100.00 HOUR
Job Description & How to Apply Below
Position: Machine Learning Fellow - Human Frontier Collective )
PLEASE NOTE:

This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in Canada.

About the Program
The  Human Frontier Collective (HFC) Fellowship  brings together top researchers and domain experts to collaborate on high‑impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting‑edge research and working alongside an interdisciplinary network of leading thinkers.

What You'll Do

ML Projects:  Get invited to engage in high‑impact projects with our partnered AI labs and platforms. Help 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 advising on GPU optimization, scaling, and trade‑offs.

HFC Community:  Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.

Education:

PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.

Professional Background:  1-3+ years of experience as a Machine Learning Engineer or Data Scientist.

Skills:

Strong proficiency in Python and modern ML frameworks (PyTorch, Tensor Flow).

Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus.

Professional Mindset:  Detail‑oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.

Why Join the HFC?

Professional Development:  High‑impact experts expand their influence through review projects, advisory roles, and research, while deepening their AI expertise, strengthening analytical and problem‑solving skills, and engaging with pioneering AI applications in science and technology.

Join a Top‑Tier Network:  Collaborate with a global network of engineers and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.

Flexible

Schedule:

Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.

Competitive Pay:  $80-100/hour, depending on projects, skills assessment, and location.

Application Process

Apply:  We review applications on a rolling basis.

Interview:  Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human‑centered AI.

Join the Collective:  Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.

PLEASE NOTE:

Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at  Please see the United States Department of Labor's Know Your Rights poster for additional information.

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