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ServiceNow

Staff Machine Learning Engineer_Voice AI Engineer

santa clara, CA

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About this opportunity

ServiceNow lists this Staff Machine Learning Engineer_Voice AI Engineer opportunity in santa clara, California. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Design and scale Voice AI for real customer outcomes with ServiceNow. You will contribute to the core Voice Platform and distributed Voice AI systems, working alongside product managers while following strong software quality standards and SRE practices. This onsite role is based in Santa Clara, CA and supports a team culture of knowledge sharing across Voice AI engineering disciplines.

Salary range:

USD 176,100 - 308,200 per year. Experience: 8+ years.

What you’ll work on

Help design, develop, and implement ServiceNow’s core Voice Platform components, including Audio Acquisition , Conversation Management , Speech Generation , API integration , self-hosted Voice AI models , and Voice Harness

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

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

Create clean, scalable, reusable code by applying software engineering architecture and process best practices such as code reviews and unit testing

Advance continuous improvement in SRE by turning operational use cases into requirements for software tooling

Mentor colleagues and support knowledge-sharing across Voice AI engineering disciplines

What you bring

8+ years of relevant industry experience

Hands-on experience building distributed Voice AI systems at large operational scale

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

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

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

Working experience operating highly available distributed workloads on Kubernetes using a DevOps approach

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

Strong critical thinking around AI integrations for work processes, decision-making, or problem-solving, including using AI tools, automating workflows, analyzing AI-driven insights, or evaluating AI impact on the function or industry

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

Tools and technologies

Python, Golang, Java

LLM-based applications

Kubernetes, DevOps, API

Self-hosted Voice AI models

Claude Code, Cursor, Windsurf

Benefits

Health plans, including flexible spending accounts

401(k) plan with company match

ESPP

Matching donations

Flexible time away plan

Family leave programs

Work location and persona

Work personas (flexible, remote, or required in office) are assigned based on the nature of work and assigned location. To determine eligibility, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal opportunity employer

ServiceNow is an equal opportunity employer. All qualified applicants receive consideration without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or other categories protected by law. Applicants with arrest or conviction records will be considered in accordance with legal requirements.

Accommodations

If you require a reasonable accommodation to complete any part of the application process, or you are unable to use the online application and need an alternative method to apply, contact .

Export control regulations

For positions requiring access to controlled technology subject to export control regulations, ServiceNow may need to obtain export control approval for certain individuals. Employment is contingent upon ServiceNow obtaining any required export license or other approval from relevant export control authorities.

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Worksite address

santa clara, CA, 95053, US

Who can apply

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