# Senior (DevOps) Machine Learning Engineer - Federal at ServiceNow

- Company: ServiceNow
- What the company does: 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.
- Company website: https://www.servicenow.com/
- Type: Startups (AI role)
- Level: Senior
- Location: Santa Clara, CALIFORNIA
- Work setup: On-site
- Pay: $161K to $274K base salary per year (USD)
- Posted: 2026-10-05
- Apply by: 2026-11-19
- Apply: https://jobs.smartrecruiters.com/ServiceNow/744000153415109?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/servicenow-senior-devops-machine-learning-engineer-federal/

## About the role

The Advanced Technology Group (ATG) 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. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Expertise in Go or Python, 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
- Deploy, scale, and operate services in production Kubernetes environments, including Helm-based deployments and CI/CD pipelines that make releases repeatable and safe to roll back

Tags: Engineering, Infrastructure and...

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/servicenow-senior-devops-machine-learning-engineer-federal/