Machine Learning Manager
Montreal-based non-profit academic AI research institute advancing machine learning through open-science research, talent development, technology transfer, responsible AI, and industry innovation.
Funding history
Investors
About Mila – Québec Artificial Intelligence Institute
Mila is a non-profit AI research hub created through collaboration between Université de Montréal and McGill University, with Polytechnique Montréal and HEC Montréal. Its community conducts machine-learning research and supports AI adoption, training, and technology transfer.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead the planning, execution, and delivery of applied research projects from initial scoping through delivery. You will manage budgets, timelines, statements of work, and agreed deliverables while improving agile ways of working and removing operational blockers. You will serve as the main contact for clients and collaborators, align business expectations with scientific requirements, mentor researchers, and coordinate work across applied research, AI development, and product-definition functions.
Requirements
- Have 5 to 7 years of relevant experience in a similar role, such as AI research and development project management, technical team management, or complex software solution delivery.
- Master a scientific project-management method and facilitate multidisciplinary team activities.
- Have a strong understanding of machine learning and AI concepts.
- Have experience delivering projects for corporate clients, including managing statements of work, budgets, and schedules.
- Build and maintain trusted relationships with researchers, development teams, product managers, and industry partners.
- Demonstrate collaborative leadership, team mentoring, and the ability to explain complex technical concepts to non-technical audiences.
- Be bilingual in French and English, spoken and written.
Responsibilities
- Lead the operational execution of applied research projects from initial scoping through delivery.
- Track deliverables, budgets, schedules, and compliance with statements of work.
- Continuously improve agile work methods and remove operational blockers.
- Serve as the primary contact for project governance with clients and collaborators.
- Align business expectations with scientific requirements and maintain stakeholder satisfaction.
- Manage, support, and mentor researchers.
- Oversee talent management and support the professional development of team members.
- Coordinate applied research, AI development, and product-definition activities.
- Stay current with AI developments to support innovation.
Benefits
- Comprehensive group insurance, including health, dental, disability, life, travel, and supplementary coverage.
- Employee and family assistance program.
- Telemedicine access.
- 20 days of annual vacation starting at hire.
- Retirement savings plan with a 4% employer contribution.
- Flexible benefits allowance for lifestyle credits, enhanced insurance, additional vacation days, or enhanced retirement contributions.
- Flexible schedule, summer schedule, and possibility of remote work.