INTERNSHIP DETAILS

ML Developer Intern (Applied Research)

CompanyLawZero
LocationMontreal
Work ModeOn Site
PostedMay 15, 2026
Internship Information
Core Responsibilities
The role involves accelerating applied research and implementing ML models for real-world applications. Responsibilities include designing research workflows, developing datasets and tooling, and adapting prototypes into production-grade solutions.
Internship Type
full time
Company Size
38
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
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.
About the Role

We are seeking interns in applied machine learning (ML) to join our team working on using the Scientist AI in real-world applications. In this role, you will work closely with ML research scientists, product stakeholders and domain experts to start applying the Scientist AI to domain-specific 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.
  • Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure)
  • Familiarity with containerization tools (e.g., gRPC, Docker, Kubernetes).
  • Familiarity with data infrastructures and platforms (e.g., vector databases).

Nice to have:

  • Familiarity with workload managers (e.g., Ray, SLURM)
  • Industry experience in designing and implementing complex machine learning workflows on high performance computing devices using PyTorch, TensorFlow, or JAX.
  • Experience building new ML products from scratch, or based on research prototypes.
  • Experience working alongside researchers.

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.

Key Skills
Machine LearningPyTorchTensorFlowJAXAWSGCPAzureDockerKubernetesgRPCVector DatabasesRaySLURMModel TrainingInferenceSoftware Engineering
Categories
TechnologyScience & ResearchSoftwareData & AnalyticsEngineering