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Machine Learning Engineer

A global healthcare company dedicated to advancing science and developing innovative solutions in diagnostics and medicines.
Mississauga, ON, Canada
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Healthcare · AI

Description For Machine Learning Engineer

Roche is seeking a Machine Learning Engineer to join their Computational Science and Informatics Pathology Lab Solutions Chapter. This role is part of a fast-paced, highly interdisciplinary team working to revolutionize Pathology through AI technologies. The position focuses on developing innovative algorithms to improve cancer patients' lives. As a Machine Learning Engineer, you'll be responsible for implementing algorithms, translating research into products, and contributing to the technology roadmap. The role combines software engineering expertise with machine learning specialization, particularly in healthcare applications. Roche offers a culture that encourages personal expression and open dialogue, where employees can make a meaningful impact on healthcare delivery. The company's mission is to advance science and ensure healthcare accessibility for current and future generations. This role provides an opportunity to work with cutting-edge AI technologies while contributing to meaningful healthcare solutions. The position requires strong technical skills in Python, C++, and cloud computing, combined with experience in medical devices and regulated environments. The team emphasizes system thinking and scalable software development in complex systems.

Last updated 2 days ago

Responsibilities For Machine Learning Engineer

  • Contribute to technology roadmap for algorithm development frameworks
  • Work with the Algorithm development team
  • Implement algorithms and software platforms for prototyping and commercial product development
  • Translate Research code and PoC (Proof of Concepts) into Products

Requirements For Machine Learning Engineer

Python
Kubernetes
  • Bachelor's or higher degree in Computer Science, Bioinformatics, Computational Biology, or related field
  • 5+ years of algorithm implementation and modification experience
  • Experience with Python and C++
  • Experience with Cloud Computing / AWS
  • Experience with Docker/Kubernetes
  • Knowledge of modern software tools and development practices
  • Experience working in Medical Devices and Regulated Environments
  • Exposure to traditional Computer Vision or Deep Learning Methods

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