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# Staff Machine Learning Engineer_Voice AI Engineer

- **Company:** ServiceNow
- **Location:** Santa Clara, CA, United States
- **Experience:** Experienced
- **Salary:** $176,100.0 - $308,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Unit Testing, Code Reuse, Code Review, Cursor, DevOps, Distributed Systems, Python (Programming Language), Machine Learning, Software Construction, Software Engineering, Core Voice Platform, Application Enhancement Tool, Large Language Models, Claude Code, Prompt Engineering, Generative AI, Build Management, Kubernetes, Servicenow, Golang
- **Published:** October 8, 2026
- **Apply:** https://jobs.smartrecruiters.com/ServiceNow/744000154066634-staff-machine-learning-engineer-voice-ai-engineer

## About the Role

To be successful in this role you have:

 * 8+ year of relevant industry experience

 * Hands-on experience building distributed Voice AI systems with a large operational scale

 * 4+ years building LLM-based applications (integrating models, not training)

 * 4+ years of development experience with Python, Golang, Java, or similar languages.

 * 2+ years of experience building agents (prompt engineering) and developing LLM-based experiences

 * Working experience operating highly available distributed workloads on Kubernetes following a DevOps approach.

 * Experience building software for compliance and security in regulated environments is considered an asset

 * Critically thinking around AI integrations for work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.

 * Experience building with AI tools such as Claude Code, Cursor, Windsurf

## Description

* Contribute to the design, development and implementation of the core Voice Platform (Audio Acquisition, Conversation Management, Speech Generation, integration with API and self-hosted Voice AI models, Voice Harness)

 * Partner with product managers to work with customers, understand their use cases and technology challenges, and build for their success

 * Build and deploy large Voice AI distributed systems at scale spanning multiple regions and datacenters

 * Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)

 * Contribute to the continuous improvement of the SRE practice by turning operational use cases into requirements for software tooling

 * Be a mentor for colleagues and help promote knowledge-sharing across Voice AI engineering disciplines, We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.