Remote Machine Learning Engineer

Summary

Join Artera as a Machine Learning Engineer on the AI Platform team, where you'll focus on enabling model developers to produce clinically useful and scientifically impactful AI models across various cancer indications. You'll work closely with other teams to streamline and automate model development workflows.

Requirements

• 5+ years of industry experience using Python
• 3+ years of industry experience using one of PyTorch, TensorFlow, or JAX
• 3+ years of industry experience building with AWS, Docker, and Kubernetes

Responsibilities

• Build and own tools and libraries that accelerate Artera’s ability to develop, launch, and monitor AI products
• Contribute to an evolving data platform utilized by Biostats and machine learning engineers to index, curate, and version all of Artera’s rapidly growing data
• Work with model developers to optimize the efficiency and utilization of large-scale, foundation model, and downstream model training runs
• Optimize Artera’s ability to store terabytes of digital pathology data efficiently for model development

Preferred Qualifications

• Experience using Terraform, SqlAlchemy
• Experience using ML orchestration frameworks such as Kubeflow, Metaflow, MLFlow, Flyte, Dagster, Argo Workflow or Prefect
• Experience maintaining infrastructure for machine learning training and production inference
• Experience designing and developing internal tools to be used by non-technical teams

Benefits

• Base salary is competitive and commensurate with experience, qualifications, and other factors to be discussed during the interview process
• Equity is a core component of compensation
• 401k matching is offered
• Unlimited paid time off (PTO) is provided