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.