ML Developer Intern (Applied Research)

LawZero • Montreal, QC

4h

About The Position

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.

Requirements

• 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 Haves

• 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.

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.

What This Job Offers

• Career Level: Intern