Machine Learning Engineer at Bunkerhill Health (W19)
$100K - $200K  •  
We bring AI algorithms, built by researchers everywhere, to the clinic
San Francisco, CA, US
Full-time
3+ years
About Bunkerhill Health
About the role

See our job listing on our careers page!

About the role

We are looking for a full-time Machine Learning Engineer to join our in-person team in our office in SoMa in SF.

Responsibilities include

  • Adapt state of the art methods to prototype and iterate on deep learning models.
  • Define and operate batch processing pipelines.
  • Create and maintain user documentation to help researchers onboard their AI models.
  • Develop large deep learning models with self-supervised learning on multimodal data.
  • Communicate findings to other engineers, operators, and leadership.

Requirements

  • 3+ years of work experience in a fast-paced, high-growth environment.
  • Experience with Python and PyTorch to train deep learning models with supervised learning.
  • Experience with cloud platforms (e.g. AWS, GCP, Azure).
  • Experience with infrastructure-as-code tools (e.g. Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g. GitHub Actions, GitLab CI, Circle CI, Jenkins) is a plus.

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