Machine Learning Manager

We are seeking a Machine Learning (ML) Manager to join our growing team dedicated to a novel AI safety agenda. In this role, you will join the group tasked with designing and implementing innovative ML models using the Scientist AI approach developed by Yoshua Bengio. As both a people manager and technical leader, you will guide research team members and spearhead complex projects within a matrix structure. You will bridge the gap between cutting-edge scientific theory and large-scale engineering execution. People management Lead, mentor and inspire a team of mission-minded and highly skilled ML research scientists and engineers. Partner with other leaders and talent acquisition to scale the organization. Drive technical hiring, active sourcing, interviewing, and onboarding to accelerate our research velocity. Coach technical team members to help them do their best work and develop new skills, while ensuring a high quality, supportive employee experience. Lead with humility to cultivate an inclusive, collaborative and intellectually rigorous environment. Display managerial courage as needed to continue fostering a healthy and productive work environment as we scale. Technical leadership Guide cross-functional project teams tackling complex, sometimes unchartered, scientific and engineering challenges within an evolving matrix structure. Manage and optimize research workflows to ensure rigorous, reproducible results at the frontier model scale. Advocate for our research agenda internally and externally, maintaining momentum to achieve breakthroughs and overcome complex technical roadblocks. Collaborate within and across projects, bridging theoretical concepts and advanced engineering. Required skills and qualifications Background & experience PhD in a relevant field (e.g., Computer Science, Mathematics). 10+ years experience in machine learning / deep learning 5+ years experience leading projects and people Experience leading machine learning / deep learning research projects Experience in foundation models Role fit Strong alignment with LawZero’s existing research agenda. Note: We highly recommend that interested candidates read into the Scientist AI framework before confirming interest. Advanced oral and written communication skills, with the ability to translate complex scientific concepts for diverse audiences. Resilience and advanced problem-solving skills when facing ambiguous or unmapped technical challenges. Proven ability to push the boundaries of our research while fostering a sustainable, healthy work environment for your team. What we offer The chance to contribute meaningfully to a globally critical initiative Comprehensive health benefits (including mental health and wellness management account) 20 days of vacation per year upon start Employer contribution of 4% to your retirement savings, with no required employee match Additional compensation totaling 8% of your salary to apply towards additional retirement savings or bonuses (independent of group and individual performance) A team of passionate world-class experts in their field A collaborative and inclusive work environment in our vibrant office space in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation About LawZero LawZero is a non-profit organization committed to advancing research and creating technical solutions that enable safe-by-design AI systems. Its scientific direction is based on new research and methods proposed by Professor Yoshua Bengio, the most cited AI researcher in the world. Based in Montreal, LawZero’s research aims to build non-agentic AI that learns primarily to understand the world rather than to act in it, giving truthful answers to questions based on transparent and externalized probabilistic reasoning. Such AI systems could be used to accelerate scientific discovery, to provide oversight for agentic AI systems, and to advance the understanding of AI risks and how to avoid them. LawZero believes that AI should be cultivated as a global public good—developed and used safely towards human flourishing. For more information, visit www.lawzero.org You belong here At LawZero, diversity is important to us. We value a work environment that is fair, open and respectful of differences. We welcome applications from highly qualified individuals interested in working towards our mission in a respectful, inclusive and collaborative setting. Your personal information will be collected and processed by LawZero to evaluate your application for employment in compliance with our Privacy Policy. Under privacy laws in force in your country of residence, you may have several privacy rights, such as to request access to your personal information or to request that your personal information be rectified or erased. Details on how you can exercise your rights can be found in our Privacy Policy.

Lead and mentor a team of ML research scientists and engineers to implement innovative models using the Scientist AI approach. Bridge the gap between scientific theory and large-scale engineering execution within a matrix structure.

Requires a PhD in a relevant field with over 10 years of experience in machine learning and 5+ years of leadership experience. Candidates must have a strong background in foundation models and alignment with the LawZero research agenda.

• Comprehensive Health Benefits • Mental Health and Wellness Management Account • 20 Days of Vacation Per Year • 4% Employer Retirement Contribution • Additional Compensation of 8% for Retirement Savings or Bonuses

• Project managementPreferred

Identified from the job description. Confirm important requirements above.

• Machine Learning
• Deep Learning
• People Management
• Foundation Models
• Technical Leadership
• Research Workflow Optimization
• Scientific Communication
• Problem Solving
• Project Management
• AI Safety

• Science & Research
• Technology
• Management & Leadership
• Software
• Engineering

Minimum education

Master’s degree

Minimum experience

10+ years

Posting language

English

Working hours

40 hours per week