ServiceNow

Staff Machine Learning Engineer_Voice AI

San Diego, California, United States

Actively hiring, first seen by us 1 day ago

Pay: $158,500–277,400/year · BaseAnnual period assumed. Location-specific pay. Plus equity — pay source
Experience building with AI tools such as Claude Code, Cursor, Windsurf For positions in this location, we offer a base pay of $158,500 - $277,400 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.
Read the full posting
Work setting: On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

Partner with product managers to understand customer use cases and challenges
Build and deploy large distributed Voice AI systems across regions and datacenters
Turn operational SRE needs into requirements for software tooling

From the employer’s posting

Partner with product managers to work with customers, understand their use cases and technology challenges

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

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

What you’ll bring

All qualifications

Core experience

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

Qualification wording

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

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

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Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 2, 20261 day ago
Recorded sightings: 3
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 69.

From 4,339 similar postings that came down. Coming down is not always a hire.

ServiceNow is hiring

42 open jobs

Open jobs by the week we first saw them, last 12 weeks.

ML Engineer hiring is picking up
Takes jobs down quickly
19% of open jobs were reposted

Hiring record

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Where the posting names them

- 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

- 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

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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:

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

For positions in this location, we offer a base pay of $158,500 - $277,400 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.

Additional Information

Work Personas

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.

Equal Opportunity Employer

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

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

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