Atomic Ai - South San Francisco, CA

posted about 2 months ago

Full-time - Senior
Hybrid - South San Francisco, CA

About the position

As a Senior AI Engineer at Atomic AI, you will leverage your expertise in MLOps and AI engineering to enhance drug discovery and development processes through innovative AI-powered solutions. This hybrid role involves collaboration with interdisciplinary teams to integrate AI into biotech workflows, focusing on the design of molecules and medicines targeting RNA structure.

Responsibilities

  • Lead MLOps initiatives to streamline model development, deployment, and monitoring.
  • Collaborate with cross-functional teams to integrate AI solutions into our biotech workflows.

Requirements

  • 8+ years of intensive and relevant experience in DevOps / SRE / SWE roles.
  • Strong proficiency in Python.
  • Extensive experience with Kubernetes and Docker.
  • Proven track record in AWS cloud infrastructure, especially for ML applications.
  • Expertise in designing and implementing MLOps pipelines.
  • Experience with MLOps observability tools and principles.
  • Solid understanding of deep learning architectures and their applications.
  • Experience with version control systems (e.g., Git) and CI/CD practices.

Nice-to-haves

  • Familiarity with Bazel build system.
  • Experience with infrastructure-as-code tools, particularly Pulumi and Terraform.
  • Familiarity with PyTorch and JAX.
  • Knowledge of experiment tracking tools like Weights and Biases.
  • Background in bioinformatics or computational biology.

Benefits

  • Equity
  • Comprehensive benefits package
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