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ML Developer (Applied Research)

Full-time

LawZero

We are seeking a machine learning (ML) developer (applied research) to join our team working on the Scientist AI. In this role, you will work closely with ML research scientists and product stakeholders to start applying the Scientist AI to real-world problems.

Key responsibilities


  • Accelerate applied research, model training and inference, and iterate on implementing models for real-world applications (that will form the basis of LawZero’s future solutions offerings).

  • Design and implement workflows for research experiments across simulated environments and real-world applications.

  • Develop datasets, tooling, dashboards, and libraries to adapt, monitor, interpret, and evaluate models in the context of real-world applications.

  • Establish, document, and maintain best practices for ML model development workflows.

  • Redesign and adapt research ideas and prototypes into robust production-grade tools and solutions.

  • Deeply understand customer use-cases to inform training strategies and surface edge cases.


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.

  • 3+ 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) and workload managers (e.g., Ray, SLURM)

  • Familiarity with containerization tools (e.g., gRPC, Docker, Kubernetes).

  • Familiarity with data infrastructures and platforms (e.g., vector databases).

  • Experience building new ML products from scratch, or based on research prototypes.

  • Experience working alongside researchers is a bonus.

 

 

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

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 . 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.

Vacancy posted 12 hours ago
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