The Impact You’ll Make
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 unified view
You will not:
- Be responsible for developing machine learning models
Location
This position is based at our office in Toronto, Canada, London, United Kingdom, OR our headquarters in Salt Lake City, Uta...
![Recursion](https://recruiting.cdn.greenhouse.io/external_greenhouse_job_boards/logos/000/007/644/resized/Recursion_Logo_Horizontal_Black_4x_2022_(1).png?1715292652)
Recursion
A clinical stage TechBio company revolutionizing drug discovery by decoding biology using AI and ML technologies.
Other jobs at Recursion
Notifications about similar jobs
Get notifications to your inbox about new jobs that are similar to this one.
No spam. No ads. Unsubscribe anytime.
Similar jobs