Bunkerhill Health
Machine Learning Engineer
Bunkerhill Health, San Francisco, California, United States, 94199
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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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.
#J-18808-Ljbffr