Machine Learning Engineer

Accelerate drug discovery as a Machine Learning Engineer in Toronto with a focus on building robust platforms. Leverage your expertise in software engineering and ML for impactful results.

In this role, you'll be building and optimizing a machine learning platform at Recursion, where you will support model lifecycle processes from development to deployment. Collaborate with ML teams to enhance platform capabilities, advocate for best practices, and inspire stakeholders for unified outcomes. Ideal for engineers ready to push the boundaries of machine learning technologies.

Key Responsibilities:

• Build machine learning platforms leveraging both off-the-shelf and custom tools

• Collaborate with ML teams to onboard their model capabilities

• Optimize the platform for evolving research and use case needs

• Advocate for technical standards and best practices in ML tooling

• Facilitate constructive dialogue among team members and stakeholders

Requirements:

• Experience with large distributed systems and scalable interfaces

• Proficiency across ML development lifecycle and production software

• Ability to author well-tested, documented, and scalable code

• Experience in mentoring and coaching peers

• Familiarity with tools like PyTorch, GCP, and Docker

Bring your machine learning platform expertise to Recursion's mission of innovation in Toronto.
#J-18808-Ljbffr