Machine Learning Fellow - Human Frontier Collective (Canada)
About this role
The Machine Learning Fellow role at Scale AI offers qualified professionals in Canada the chance to shape the future of artificial intelligence within the Human Frontier Collective. This flexible engagement suits academic experts, researchers, and senior industry specialists looking to contribute to frontier AI development and research.
Role Overview
As a Machine Learning Fellow, participants join an exclusive interdisciplinary network of top minds across multiple fields, where over ninety percent of members hold doctorates. Fellows collaborate directly with Scale AI and affiliated labs on high-impact initiatives, focusing on how artificial intelligence systems are built, evaluated, and governed. Engagement duration is ongoing with no fixed end date, operating as an independent contractor arrangement with flexible scheduling where most contributors dedicate ten to twenty-five hours per week.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Scale AI focuses on developing reliable artificial intelligence systems designed to support critical decisions for enterprises and governments worldwide. The organization provides high-quality data and comprehensive technology stacks that empower leading models and applications. Scale collaborates extensively with major industry leaders, medical institutions, publishers, and government agencies. As an equal opportunity employer, the company fosters an inclusive workplace environment and accommodates applicants requiring assistance during recruitment.
How to Apply
Interested candidates should submit their application through the official Scale AI careers platform for rolling review. Successful applicants will be invited to discuss their professional background, research experience, and mission alignment.
Skills and tech stack
Questions candidates ask
What is the time commitment for the Machine Learning Fellow role?
There is no minimum hourly commitment, allowing fellows to set their own schedules. Most participants spend between 10 and 25 hours per week on selected projects.
Is visa sponsorship provided for applicants in Canada?
No, visa sponsorship is not available. Candidates must already possess or independently obtain full-time work authorization in Canada.
What qualifications are required to apply?
Applicants must hold a PhD or have postdoctoral research experience in Computer Science, Machine Learning, or a related discipline, or have senior industry experience in machine learning.
How are projects assigned to fellows?
Fellows are regularly matched with carefully selected projects from partners based on factors such as scope, skillset, and location preferences.
What employment classification is this position?
This opportunity is structured as a 1099 independent contractor engagement with no fixed end date, continuing as long as there is mutual interest.