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
The role involves managing administrative operations and facilitating communication between teams. It also includes strategic planning and logistical support for the executive team.
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
The role serves as a strategic partner to the leadership team, managing complex administrative operations and coordinating between LoiZéro and Professor Yoshua Bengio's office. Key duties include high-volume email triage, international travel logistics, and the implementation of efficient operational processes.
On-site · Montréal
Develop and scale data pipelines that transform raw web-scale data into high-signal training sets for AI research. This includes implementing algorithmic filtering, quality scoring, and ensuring data integrity and compliance.
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
Translate complex AI research and technical concepts into accessible content for diverse audiences, including scientists, government officials, and the general public. Support research activities by drafting grant applications and creating strategic communication materials across various digital and institutional channels.
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
Design and maintain a multi-tier, ultra-low latency storage architecture and automated petabyte-scale data processing pipelines for frontier AI models. Collaborate with research teams to ensure seamless integration of datasets, versioning, and self-service data analysis tools.
On-site · Montréal
Architect and maintain a multi-tiered, ultra-low-latency storage architecture and petabyte-scale data processing pipelines for frontier AI models. Collaborate with research teams to ensure data versioning, reproducibility, and efficient GPU resource utilization.
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
Lead and mentor a team of ML researchers and engineers to implement innovative models based on the Scientist AI approach. Bridge the gap between cutting-edge scientific theory and large-scale technical execution within a matrix structure.
On-site · Montréal
Design and implement data governance policies and responsible AI frameworks to ensure ethical development and legal compliance. Coordinate bias evaluations, data privacy procedures, and internal AI tool governance in collaboration with legal and technical teams.
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
Define and lead the evaluation strategy for LawZero's AI systems to ensure their safety, performance, and reliability. Build and manage a specialized team of 8-10 experts to develop independent benchmarks and red-teaming programs.
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 · Montréal
The role involves exploring new AI architectures and theoretical frameworks to define safe AGI and provide probabilistic safety guarantees. The researcher will collaborate with Yoshua Bengio to refine formal requirements for 'Scientist AI' and contribute to scientific publications.
