# Principal Machine Learning Engineer 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: Principal and up
- Location: Santa Clara, California
- Work setup: On-site
- Pay: $240K to $420K base salary per year (USD)
- Posted: 2026-10-20
- Apply by: 2026-12-04
- Apply: https://jobs.smartrecruiters.com/ServiceNow/744000156454649?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/servicenow-principal-machine-learning-engineer-2/

## About the role

In this role you will play a key role in defining and building the cloud-native infrastructure that powers ServiceNow's next generation of Agentic AI and conversational experiences. As a Principal Engineer, you will drive architecture and technical strategy across multiple engineering organizations while remaining deeply hands-on in solving complex platform and scalability challenges. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 15+ years of experience building large-scale distributed systems, cloud platforms, infrastructure services, or enterprise SaaS products
- Deep expertise in Java, Go, Python, or similar systems programming languages
- Proven experience designing, building, and operating highly scalable cloud-native architectures
- Expert knowledge of Kubernetes, containers, orchestration platforms, and modern cloud infrastructure
- Experience building platform services used across multiple engineering teams and products
- Strong understanding of distributed systems principles, including resiliency, fault tolerance, scalability, performance optimization, and observability

Tags: Engineering, Infrastructure and...

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/servicenow-principal-machine-learning-engineer-2/
