Machine Learning Engineer (ai-platform)

About Us: Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. Artera is on a mission to personalize medical decisions for patients and physicians on a global scale.

As a Machine Learning Engineer at Artera, you’ll work on the AI Platform team. You’ll be focused on enabling Artera’s model developers to produce clinically useful and/or scientifically impactful AI models across a wide range of cancer indications. You’ll work closely with model developers, biostatisticians, and infrastructure engineers to streamline and automate model development workflows, 

Essential 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.

Experience 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

Desired:

• 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