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:
You will not:
This position is based at our office in Toronto, Canada; London, United Kingdom; or our headquarters in Salt Lake City, Utah.
The ML Infra team vision is to build and maintain a centralized platform composed of best-in-class tooling for doing machine learning. We strive to make machine learning easy and accessible across the organization by offering low barrier-to-entry solutions for building machine learning pipelines from development through deployment. In a rapidly evolving landscape of ML Ops tooling, we aim to foster a culture of continuous learning and growth to stay informed of emerging technologies, and prudently incorporate them into the platform as makes sense for Recursion’s dynamic portfolio of use cases. We seek to integrate with the Data Platform and HPC to fully leverage the power of the Recursion OS.
Senior MLOps Engineer • Toronto, ON, Canada
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