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
Develop and implement strategies to engage middle-power governments for co-financing and partnership opportunities. Map national ecosystems and manage high-level relationships to advance the organization's mission regarding AI safety and sovereignty.
On-site · Montréal
The Senior Manager will develop and execute a middle-powers strategy to secure funding and policy support for LawZero's AI mission. This includes mapping national ecosystems, building relationships with key government actors, and preparing briefing materials for senior-level engagements.
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
You will be responsible for architecting, scaling, and maintaining high-performance data pipelines that power next-generation machine learning models. This role involves bridging the gap between AI research and engineering by treating the data platform as a product for internal researchers.
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
You will be responsible for the platform layer between employees and GPU infrastructure, including managing Kubernetes clusters and CI/CD pipelines. You will also define platform standards, implement internal services, and ensure the security and observability of the research computing environment.
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 Senior Manager of Talent Acquisition will lead and mentor the recruitment team while developing global strategies for attracting top-tier AI and scientific talent. They will also oversee employer branding, optimize recruitment processes, and manage international relocation and immigration efforts.
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
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
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
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.
