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ServiceNow · Santa Clara, CA

# Senior Staff Machine Learning Engineer_Voice AI Engineer

Santa Clara, CALIFORNIA, United States Full-time Senior individual contributor $201,300 - $352,300 Data & Analytics 

Listed on ServiceNow’s official careers site. Posted October 7, 2026. Check that it is still open and apply there.
[Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000154065930-senior-staff-machine-learning-engineer-voice-ai-engineer)

[OpenNash Jobs](https://jobs.opennash.com/) / [ServiceNow](https://jobs.opennash.com/companies/servicenow/) / Senior Staff Machine Learning Engineer_Voice AI Engineer

## Job description

### What you get to do in this role
- 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

## Qualifications

To be successful in this role you have:
- 12+ 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 For positions in this location, we offer a base pay of $201,300 - $352,300, plus equity (when applicable), variable/incentive compensation and benefits.

Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.

Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

## At a glance
- Posted by the employer: Oct 7, 2026
- First seen by OpenNash: Oct 10, 2026
- Last checked: Oct 17, 2026
- Listed for: 10 days
- Location: Santa Clara, CALIFORNIA, United States
- Employment type: Full-time
- Pay: $201,300 - $352,300[Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000154065930-senior-staff-machine-learning-engineer-voice-ai-engineer)

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