2026 Intern – Data Scientist / Machine Learning Engineer

Roche • Mississauga, ON

3d • CA$57,416 - CA$75,359 • Hybrid

About The Position

Join our diverse, open, and friendly team as an Intern – Data Scientist / Machine Learning Engineer in Mississauga, where we leverage technology to revolutionize the practice of medicine. You will have the unique opportunity to collaborate with multi-disciplinary teams to design and deploy high-quality data solutions, focusing heavily on Large Language Models (LLMs) to improve patient outcomes. Bring your enthusiasm for technological advancements to help us achieve our mission: to do now what patients need next.

Requirements

• Currently pursuing a Master's degree in a quantitative field (e.g., mathematics, statistics, computer science) or a Life Sciences degree with significant computational experience.
• Programming capabilities in languages such as Python or R, alongside an awareness of good coding practices and test-driven development.
• Experience or coursework related to Large Language Model (LLM) applications development (e.g., RAG, code interpreter).
• Basic understanding of building LLM data/deployment pipelines.
• Exposure to ML/AI toolkits (such as PyTorch, TensorFlow, Keras, AWS SageMaker).
• Basic knowledge of cloud solutions (AWS, Azure, GCP) and MLOps technologies.
• Basic knowledge of development tools like git, bash, Linux, and CI/CD tools.
• Proven scripting and automation skills.

Responsibilities

• Collaborate with experienced Data Scientists, engineers, and cross-functional teams to address complex problems using modern NLP technologies and LLMs.
• Assist in building robust data and deployment pipelines for machine learning models.
• Contribute to the development, deployment, and performance tuning of innovative machine learning models based on business and functional requirements.
• Document and communicate design and implementation details effectively while assisting the AI team in making key technical decisions.
• Partner with clients and informatics departments to deploy scalable solutions, actively participating in troubleshooting and root cause analysis.
• Thrive in a knowledge-sharing team environment that deeply values diverse experiences and a variety of perspectives.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern