Startups · AI

MTS - Infrastructure

Omnifold · San Francisco HQ · On-site

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About Omnifold

The AI planning platform purpose-built for your business. Discover the growth, margin, and cash your generic planning tools can. Backed by Kleiner Perkins and Lightspeed.

About the role

We train a unique model for each customer, which means model training and inference work differently here than at any other company. You’ll never get more reps building model training infrastructure! Our team has very fast iteration speed but needs robust monitoring to pick up signal on user patterns. This is especially important as our application interface for AI-driven forecasting is unique on the market.

What they're looking for

  • Experience with cloud computing (especially GPU workloads), CI/CD infrastructure-as-code. We run on AWS
  • Familiarity with or interest in ML workflows
  • Security fundamentals: encryption, access controls, compliance basics
  • Python proficiency
  • Must have a strong Computer Science background
  • Location: San Francisco (in-person, 5 days per week)
More about this role

Omnifold trains custom AI models that help planners forecast the future. We are hiring for our Infrastructure Team, who own the systems that make everything else possible.

We train a unique model for each customer, which means model training and inference work differently here than at any other company. You’ll never get more reps building model training infrastructure!

Our team has very fast iteration speed but needs robust monitoring to pick up signal on user patterns. This is especially important as our application interface for AI-driven forecasting is unique on the market.

Deployment: Reliable processes for getting models and services into production

Security: Data isolation between customers, product security, infrastructure hardening (SOC2 compliance and beyond)

Cloud resource management: GPU allocation, instance sizing, cost optimization

Monitoring and logging: Visibility into what's running, what's failing, and why

Data and ML ops: ETL pipelines from varied customer data sources, model versioning and lifecycle management

Automated testing: Building the test infrastructure that lets us ship with confidence

Experience with cloud computing (especially GPU workloads), CI/CD...

Read the full posting on Omnifold's site ↗

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