Publié il y a 5 mois
Machine Learning Manager
@ LawZero
Montréal, Québec
En bref
LawZero is hiring a Machine Learning Manager to lead ML research scientists and engineers on its Scientist AI safety agenda, based on Yoshua Bengio's approach. The role combines people management with technical leadership across matrix teams, bridging frontier scientific theory and large-scale engineering.
Responsabilités :
- Lead and mentor ML research scientists and engineers
- Drive technical hiring, sourcing and onboarding
- Guide cross-functional projects in a matrix structure
- Manage research workflows for reproducible frontier-scale results
- Advocate for the research agenda internally and externally
Résumé des exigences :
- PhD in Computer Science, Mathematics or a related field
- 10+ years in machine learning or deep learning
- 5+ years leading projects and people
- Experience with foundation models
- Advanced oral and written communication skills
Outils et compétences
Source et dates
Site carrière / système de candidatures · greenhouse
- Date publiée par l’employeur
- 2026-06-10
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Gestionnaire |
| Domaine | Développement logiciel |
| Expérience | 10 an(s) et plus |
| Expérience en gestion | 5 an(s) et plus |
| Gestion d’équipe | Oui |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Doctorat (exigé) |
| Domaines d’études | Computer Science, Mathematics |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
LawZero
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Safe AI for Humanity
Description complète de l’entreprise
LawZero is a nonprofit 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 led by Professor Yoshua Bengio, the most cited AI researcher in the world. Based in Montréal, LawZero’s research aims to build non-agentic AI that 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.
- Abonnés LinkedIn
- 11 575
- Personnes associées sur LinkedIn
- 26
- Bureaux déclarés
- 6666 Rue Saint-Urbain, 200, Montreal, Quebec H2S 3H1, CA
- Catégories d’activité
- Generative AI
- Artificial Intelligence (AI)
- Intelligent Systems
- Autres noms enregistrés
- LoiZéro
- LawZero
- Spécialités
- AI Safety
- Artificial Intelligence
- and Deep Learning
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 30 000 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
LawZero is a nonprofit 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 led by Professor Yoshua Bengio, the most cited AI researcher in the world. Based in Montréal, LawZero’s research aims to build non-agentic AI that could be used to accelerate scientific discovery, to provide…
| Champ | Valeur |
|---|---|
| Secteur | Research Services |
| Taille | 11-50 employees |
| Siège social | Montreal, Quebec |
| Type d’organisation | Nonprofit |
| Fondée en | 2025 |
| Spécialités | AI SafetyArtificial Intelligenceand Deep Learning |
| Offres sur Jobsy | 12 |
| Voir la page |
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 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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