Senior Staff Machine Learning Engineer_Voice AI
Company websiteservicenow.com (ServiceNow, opens in new tab)
Base salary $201,300 to $352,300
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (11 min ago) · observed since
About this job
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.
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.
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 [email protected] 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.
From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
Source: ServiceNow on SmartRecruiters · View original posting (opens in new tab)
Pay in context
This role's base floor ($201,300) is above 64% of the 1,563 Data & ML roles in California listed on this site; 3 others list the same floor. Their median floor is $185,200; the middle half runs from $158,591 to $228,600.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingSenior Staff Machine Learning Engineer_Voice AI$201,300 to $352,300
Director, Regional Product Management$199,100 to $348,400
Product Success Technical Director$199,100 to $348,400
Product Success Technical Director$199,100 to $348,400
Principal Inbound Product Manager - Now Engage$199,100 to $348,400
Partner Technical Architect$198,900 to $328,200
Partner Technology Architect$198,900 to $328,200
Chart as a table
| Role | Published base |
|---|---|
| Senior Staff Machine Learning Engineer_Voice AI (this listing) | $201,300 - $352,300 |
| Director, Regional Product Management | $199,100 - $348,400 |
| Product Success Technical Director | $199,100 - $348,400 |
| Product Success Technical Director | $199,100 - $348,400 |
| Principal Inbound Product Manager - Now Engage | $199,100 - $348,400 |
| Partner Technical Architect | $198,900 - $328,200 |
| Partner Technology Architect | $198,900 - $328,200 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-11-02
Where this pay comes from
Location as the employer wrote it: Santa Clara, CALIFORNIA, United States
For positions in this location, we offer a base pay of $201,300 - $352,300 plus equity (when applicable), variable/incentive compensat
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.