Senior ML Research Developer

LawZero; Montreal (administrative region); On-site; CAD 120,000 - 170,000; Full time

Benefits offered by this job

Health benefits

Vacation 20 days

Retirement plan 4%

Flexible benefits

Collaborative environment

Montreal offices

Job summary

LawZero seeks a senior ML research developer to join our team in Montreal, working with ML research scientists to solve training and inference challenges for very large models. You will collaborate closely on experiments, design workflows, and develop tools to optimize computing resources.

The role focuses on advancing safe-by-design AI research, with a mission-driven environment and a strong emphasis on collaboration and best-practice documentation.

Qualifications

• Degree in computer science or related field, MSc or higher in ML or equivalent.
• 5+ years of industry experience designing and implementing complex ML workflows on HPC with PyTorch, TensorFlow, or JAX.
• Ability to collaborate with cross-functional teams and document best practices.
• Experience with cloud platforms (AWS, GCP, Azure).
• Familiarity with Docker and Kubernetes.
• Familiarity with data infrastructures and vector databases.
• Track record of contributing to high-quality deep learning research.

Responsibilities

• Collaborate with ML researchers to accelerate training and inference for large models.
• Design workflows for experiments across toy scenarios and large-scale projects.
• Develop tools to optimize computing resources.
• Establish, document, and maintain best practices for ML model development workflows.

Skills

5+ years ML experience

Cross-functional collaboration

Cloud platforms

Containerization

Data infrastructures

Deep learning research contributions

Education

MSc or higher in ML

Tools

PyTorch

TensorFlow

JAX

Job description

We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve difficult training and inference problems using very large models.

Key responsibilities

• Collaborate with researchers to accelerate research, model training and inference, and facilitate the efficient implementation of novel models and simulated environments.
• Design and implement workflows for research experiments across toy scenarios and large scale projects.
• Develop tools and libraries to optimize the use of computing resources.
• Establish, document, and maintain best practices for ML model development workflows.

Skills and qualifications

• A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required, along with an advanced degree (MSc or higher) in machine learning or equivalent work experience.
• 5+ years of industry experience in designing and implementing complex machine learning workflows on high performance computing devices using PyTorch, TensorFlow, or JAX.
• Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• Familiarity with containerization tools (e.g., Docker, Kubernetes).
• Familiarity with data infrastructures and platforms (e.g., vector databases).
• A track record of contributing to high-quality research projects in deep learning.

What we offer

• The opportunity to contribute to a unique mission with a major impact.
• Comprehensive health benefits.
• A minimum of 20 days vacation per year upon start.
• A minimum retirement savings employer contribution of 4%.
• Generous flexible benefits designed to contribute to your well‑being.
• A team of passionate experts in their field.
• A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.

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.

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