Machine Learning Manager
LawZero · Berlin; Montreal ·
- Category
- ML ai
- Experience
- 5+ years
LawZero, a non-profit AI safety lab built around Yoshua Bengio's Scientist AI approach, is hiring an ML Manager to both lead and mentor a team of ML research scientists/engineers and provide hands-on technical leadership on frontier-scale research projects. The role blends people management (hiring, coaching, scaling the org) with guiding deep learning research and engineering execution.
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.
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
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.
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