Safe AI for Humanity / IA sécuritaire pour l'humanité
Montreal, Quebec
LawZero is a nonprofit startup developing technical solutions for highly-capable, 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 is building a multi-step pathway to safe advanced AI, ensuring that future AI systems are developed and deployed responsibly, equitably, and as a global public good. --- LoiZéro est une startup à but non lucratif dédiée à développer des solutions techniques permettant de concevoir des systèmes d’IA très performants et sécuritaires. Sa direction scientifique repose sur de nouvelles recherches menées par le professeur Yoshua Bengio, une sommité mondiale de l’IA et le chercheur vivant le plus cité au monde, tout domaine confondu. Basée à Montréal, LoiZéro œuvre à créer une IA avancée sécuritaire, selon une approche en plusieurs étapes, afin que les futurs systèmes d’IA soient développés et déployés de manière responsable, équitable et en tant que bien public mondial.
On-site · Montréal
You will architect and scale automated, petabyte-scale data processing pipelines to support frontier AI model research. This involves optimizing compute resources, ensuring data reliability, and maintaining full traceability of datasets.
On-site · Montréal
Develop and scale end-to-end data pipelines to transform raw web-scale data into high-quality datasets for training the Scientist AI. This includes implementing algorithmic filtering, quality scoring, and ensuring rigorous benchmark integrity and data provenance.
On-site · Montréal
You will own the platform layer between personnel and GPU infrastructure, including managing Kubernetes clusters, CI/CD pipelines, and cloud environments. Additionally, you will implement observability, enforce security standards, and provide reliable internal services for research and data teams.
On-site · Montréal
The Senior Manager will lead recruitment strategies, mentor the talent acquisition team, and oversee global employer branding and international hiring operations. They will also manage full-cycle recruiting for specialized technical roles and implement scalable hiring processes.
On-site · Montréal
The role serves as a strategic partner to the executive leadership team, managing high-volume communications and coordinating administrative activities between LawZero and Mila. Key duties include complex calendar and travel management, operational liaison, and the implementation of tools to standardize administrative processes.
On-site · Montréal
Translate complex AI and machine learning research into accessible content for policymakers, partners, and the general public. Support research funding initiatives by drafting technical sections of grant proposals and managing scientific outreach.
On-site · Montréal
The ML Research Scientist will design and implement innovative ML models to address complex AI safety problems. They will collaborate with other researchers to integrate theoretical advancements into practical applications and validate their findings through experimental protocols.
On-site · Montréal
Collaborate with researchers to accelerate research, model training, and inference. Design and implement workflows for research experiments across various scenarios.
On-site · Montréal
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.
On-site · Montréal
Design and implement data governance practices and responsible AI controls to ensure ethical product development. Manage PII protection, dual-use evaluations, and internal AI tool policies in collaboration with legal and technical teams.
On-site
*This opening is planned for a July or August 2026 start date* We are seeking a Technical Recruiter to support the growth of our rapidly expanding organization, with a focus on teams working in the fields of artificial intelligence, machine learning, and AI Safety. Key responsibilities * Manage several 360-degree recruitment mandates simultaneously, from defining the need to signing the offer. * Design and execute targeted and creative sourcing strategies to identify and engage niche talent (Research Developers, Machine Learning Researchers, AI Safety Experts, etc.). * Approach, activate,…
On-site · Montréal
Build and lead an independent Evaluations Team to rigorously measure the capabilities and safety of the Scientist AI and frontier LLMs. Define the evaluation strategy, oversee the creation of benchmarks and red-teaming programs, and manage public communication of results.
On-site · Montréal
Develop a theoretical blueprint for safe AGI by exploring new AI architectures and proving probabilistic safety guarantees. Collaborate with leading researchers to refine formal requirements and disseminate findings through scientific papers.
On-site
As a true anchor within the Talent and Culture team, the chosen candidate will bridge the gap between a new talent's arrival and their growth within the company. This is a dual role: providing essential support to scout our future team members, and ensuring their administrative and human journey is flawless, from day one to payday. Key responsibilities Operations & Culture In this area, the person in this role becomes the go-to anchor ensuring structure and peace of mind for our team members. The art of onboarding: Orchestrate the arrival of new team members (preparing contracts, welcome kits…
On-site · Montréal
The role involves collaborating with ML research scientists to accelerate research, model training, and inference, focusing on solving difficult problems with very large models in distributed environments. Key tasks include investigating performance bottlenecks, optimizing resource utilization, and developing tools to simplify distributed computing for research experiments.
On-site · Montréal
The role involves developing and evaluating probabilistic inference methods, focusing on amortized inference, and translating theoretical insights into practical implementations. Key tasks include developing methods for high-dimensional distributions and designing evaluation strategies for these inference techniques.
