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.
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.
Skills Required
- Relevant degree in computer science, computer engineering, software engineering, or a related field
- Advanced degree, MSc or higher, in machine learning or equivalent work experience
- 5+ years of industry experience designing and implementing complex machine learning workflows on high-performance computing devices
- Experience with PyTorch, TensorFlow, or JAX
- Ability to collaborate effectively with cross-functional teams
- Ability to document best practices and stay current with ML and software development advancements
- Experience with cloud platforms such as AWS, GCP, or Azure
- Familiarity with containerization tools such as Docker or Kubernetes
- Familiarity with data infrastructures and platforms such as vector databases
- Track record of contributing to high-quality deep learning research projects
What We Do
LawZero is a Montreal-based nonprofit AI safety research organization incubated at Mila. It develops technical solutions for highly capable, safe-by-design AI systems and pursues a pathway toward advanced AI that is trustworthy, responsible, equitable, and aligned with human goals. Its work aims to make advanced AI a global public good while prioritizing safety, integrity, and truthfulness over commercial imperatives.
