Re
Posted:
June 06, 2026
Location:
toronto, on, Canada
Job Description
As a Senior MLOps Engineer, you will be building a platform that accelerates drug discovery with machine learning for a wide variety of use cases with respect to data modality, model architecture, and model size. By leveraging your experience in machine learning, software engineering, infrastructure, and data, you will:
- Build our machine learning platform from a mixture of off-the-shelf and custom tooling as needed to enable the full model lifecycle from development through deployment
- Partner with ML teams actively developing models to onboard them to platform capabilities
- Continuously optimize the platform to support our emerging machine learning research capabilities and evolving use case needs
- Steer the direction for ML tooling, improve technical standard and advocate for best practices
- Inspire your team and stakeholders alike to find the best outcome by facilitating constructive dialogue, reconciling perspectives into a un...
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Apply Now Save for LaterJob Overview
Job Type:
Full-time
Location:
toronto, Canada
Posted:
June 06, 2026
Deadline:
July 16, 2026