Startups · AI

Senior Staff (DevOps) Machine Learning Engineer

ServiceNow · Santa Clara, CALIFORNIA · On-site

← All jobs
About ServiceNow

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. Backed by Greylock and Sequoia.

About the role

We are seeking a Senior Staff Machine Learning Engineer (DevOps) to lead the architecture, optimization, and operational excellence of our AI inference platform. You will own the end-to-end inference lifecycle—from onboarding cutting-edge models to deploying optimized inference engines in production across multiple backends on Kubernetes infrastructure. You'll also architect the intelligent gateway layer using Envoy and ext_proc to enforce access control, provide observability, and enable advanced request routing. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Expertise in Go or Python, OOP, Design Patterns, time and space-efficient algorithms
  • Experience building new products that use challenging algorithms
  • Expertise in coding efficient, object-oriented, modularized and quality software
  • Knowledge of core AI/ML techniques and algorithms
  • Knowledge of unit testing, profiling, and code tuning
More about this role

About the team - The AI Services Platform Group at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

We are seeking a Senior Staff Machine Learning Engineer (DevOps) to lead the architecture, optimization, and operational excellence of our AI inference platform. You will own the end-to-end inference lifecycle—from onboarding cutting-edge models to deploying optimized inference engines in production across multiple backends on Kubernetes infrastructure. You'll also architect the intelligent gateway layer using Envoy and ext_proc to enforce access control, provide observability, and enable advanced request routing. This role combines deep technical...

Read the full posting on ServiceNow's site ↗

Engineering, Infrastructure and...

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.