ML Ops Engineer — Hybrid in Silicon Valley

BioSpace; South San Francisco (CA); Hybrid; USD 147,000 - 268,000; Full time

Benefits offered by this job

401(k)

Pension

Vacation benefits

Healthcare

Flexible benefits

Employee clubs

Job summary

Lilly invites you to join the Silicon Valley AI co-innovation lab, building end-to-end ML platforms for drug discovery. This ML Ops Engineer role focuses on deploying, monitoring, and scaling production ML workloads in a fast-paced research environment.

You will work with data scientists and engineers, optimizing infrastructure, implementing CI/CD, and ensuring reproducibility at scale. Hybrid work model with onsite and remote collaboration is offered.

Qualifications

• Bachelor's in Computer Science, Engineering, Statistics, Mathematics, or related field.
• 4+ years of experience in ML engineering, ML Ops, or platform engineering.

Responsibilities

• Lead deployment, monitoring, and reliability of ML models.
• Operate large-scale inference platforms for production AI workloads.
• Collaborate with researchers and infra teams to integrate models into broader strategies.

Skills

Python

ML frameworks

ML Ops

Docker

Kubernetes

Terraform

CI/CD

Cloud platforms

Observability

Collaboration

Education

Bachelor’s in CS/Engineering

Tools

MLflow

Weights & Biases

KServe

Triton

vLLM

TensorRT-LLM

Job description

Lilly invites you to join the Silicon Valley AI co-innovation lab, building end-to-end ML platforms for drug discovery. This ML Ops Engineer role focuses on deploying, monitoring, and scaling production ML workloads in a fast-paced research environment.

You will work with data scientists and engineers, optimizing infrastructure, implementing CI/CD, and ensuring reproducibility at scale. Hybrid work model with onsite and remote collaboration is offered.