Staff ML Systems & Production Reliability Engineer

ServiceNow; Mountain View (CA); On-site; USD 250,000 - 320,000; Full time

Benefits offered by this job

Generous family leave

Annual learning stipend

Flexible PTO

Competitive retirement plan

Paid volunteer time

Job summary

ServiceNow in Mountain View seeks a hands-on Staff Engineer to move ML models and agentic workflows from prototypes into secure, observable production systems. You will work at the intersection of ML systems, platform engineering, and SRE, partnering with ML, data, product, and infrastructure teams to create a paved path from experimentation to production.

The role covers data preparation, training, experiment tracking, evaluation, artifact management, serving, monitoring, and retraining with

Qualifications

• Proven track record building and operating distributed production systems.
• Experience with ML lifecycle: training, deployment, serving, monitoring, retraining.

Responsibilities

• Move ML models and agentic workflows from prototype to production.
• Design and operate complete ML lifecycle path: data prep, training, evaluation, serving, retraining.
• Establish automated quality, safety, performance and compatibility checks.
• Define and monitor SLIs/SLOs and incident response for ML pipelines.
• Mentor engineers across ML, data, product, and platform teams.

Skills

Python

Go

Java

C++

Rust

Tools

Kubernetes

CI/CD

Infrastructure as Code

Job description

ServiceNow in Mountain View seeks a hands-on Staff Engineer to move ML models and agentic workflows from prototypes into secure, observable production systems. You will work at the intersection of ML systems, platform engineering, and SRE, partnering with ML, data, product, and infrastructure teams to create a paved path from experimentation to production.

The role covers data preparation, training, experiment tracking, evaluation, artifact management, serving, monitoring, and retraining with