ML Platform Engineer for AI-Driven Drug Discovery

Genentech; San Francisco (CA); On-site; USD 147,600 - 274,000; Full time

Job summary

Genentech is seeking a Machine Learning Infrastructure Engineer to design and operate scalable model‑serving infrastructure for ML and scientific workloads in California. The role focuses on deploying production software, cloud infrastructure, Kubernetes, and distributed systems to support model deployment and lifecycle management.

You will work with real-time and batch inference, GPU-backed services, and in-silico drug discovery workflows, with an emphasis on engineering fundamentals and

Qualifications

• BS or MS in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Responsibilities

• Design, implement, ship, and operate scalable model‑serving infrastructure for machine learning, scientific, LLM, and agentic workloads.

Skills

Python programming

Production software delivery

Hands-on implementation

Independent delivery

Education

BS or MS in Computer Science, Engineering, or related field

Tools

AWS

EKS

EC2

S3

IAM

SQS

SNS

CloudWatch

Kubernetes

Helm

Terraform

Pulumi

CI/CD

Git

Datadog

Prometheus

Grafana

OpenTelemetry

KServe

Triton

vLLM

Ray Serve

Job description

Genentech is seeking a Machine Learning Infrastructure Engineer to design and operate scalable model‑serving infrastructure for ML and scientific workloads in California. The role focuses on deploying production software, cloud infrastructure, Kubernetes, and distributed systems to support model deployment and lifecycle management.

You will work with real-time and batch inference, GPU-backed services, and in-silico drug discovery workflows, with an emphasis on engineering fundamentals and