Ml Platform / Mlops Engineer

profluent.bio

Emeryville, California, United States
$180,000—$250,000 usd; not specified; health insur...
On-site
Ml infrastructure for generative models
Gpu cluster training and inference
Ci/cd for ml models
Profluent Bio is seeking an ML Platform / MLOps Engineer to support the infrastructure for their machine learning systems focused on protein design and validation. The ideal candidate will have experience in production ML systems, cloud infrastructure, and MLOps practices, contributing significantly to a fast-paced, innovative environment

Job Summary

  • Profluent is an AI-first protein design company developing deep generative models to revolutionize biomedicine.
  • Responsibilities include developing infrastructure for large-scale ML training and inference, implementing security best practices, and building machine learning pipelines.
  • The company offers a high-growth opportunity, competitive compensation, health insurance, and generous paid time off.

Matching Summary

Match Score: 85

Profluent Bio is seeking an ML Platform / MLOps Engineer to support the infrastructure for their machine learning systems focused on protein design and validation. The ideal candidate will have experience in production ML systems, cloud infrastructure, and MLOps practices, contributing significantly to a fast-paced, innovative environment.

Salary

$180,000—$250,000 USD; Not specified; Health insurance (health/dental/vision)

Skills & Requirements

Must-have

  • ML infrastructure for generative models
  • GPU cluster training and inference
  • CI/CD for ML models
  • Containerized workloads and orchestration
  • Cloud infrastructure (GCP preferred)

Nice-to-have

  • Transitioning research to production
  • Intersection of biology and AI
  • Large scale ML model challenges

Key Requirements

  • 3+ years of experience
  • BS in Computer Science or related field
  • Work authorization in the United States

Work Rights

Ongoing work authorization

Tailored Resume

Cover Letter