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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.