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Day 148
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Berlin; Montreal
Open 4 months, first seen by us 148 days agoLead, mentor and coach ML research scientists and engineers
Drive technical hiring, sourcing, interviewing and onboarding
Guide cross-functional project teams on complex scientific and engineering challenges
Manage research workflows for rigorous, reproducible results at frontier scale
Advocate for the research agenda internally and externally
Lead, mentor and inspire a team of mission-minded and highly skilled ML research scientists and engineers.
Drive technical hiring, active sourcing, interviewing, and onboarding to accelerate our research velocity.
Guide cross-functional project teams tackling complex, sometimes unchartered, scientific and engineering challenges
Manage and optimize research workflows to ensure rigorous, reproducible results at the frontier model scale.
Advocate for our research agenda internally and externally
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
Background & experience - PhD in a relevant field (e.g., Computer Science, Mathematics). - 10+ years experience in machine learning / deep learning
We welcome applications from highly qualified individuals interested in working towards our mission in a respectful, inclusive and collaborative setting.
In the employer’s words · Read in context
Open 4 monthsWe first saw this posting 148 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 148
Up longer than most. Similar jobs usually come down between day 7 and day 54.
From 8,218 similar postings that came down. Coming down is not always a hire.
5 open jobs
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New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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
Technical leadership
Required skills and qualifications
Background & experience
Role fit
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.
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Berlin; Montreal
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