This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension.
As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems.
Key responsibilities include:
- Engaging in high-impact projects with partnered AI labs and platforms
- Designing, reviewing, and optimising PyTorch models
- Evaluating complex ML code and AI-generated implementations for efficiency and correctness
- Advising on GPU optimisation, scaling, and trade-offs
You'll also become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
Collaboration with Scale's research team to co-author technical reports and research papers is also expected.
To be eligible, candidates must be authorised to work in Canada and have a PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.
Professional background as a Machine Learning Engineer or Data Scientist with 1-3+ years of experience is also required.
Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow) is essential, along with experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain).
A detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration is ideal.
Flexible schedule with 10–40 hour weeks that fit around your life and other commitments is offered.
Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.
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