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ServiceNow

Senior Staff Machine Learning Engineer_Voice AI

  • Hybrid
  • 6+ years

Salary

$181,200 - 317,100/ year

AI summary

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Description

The role sits on the company's Voice AI engineering team and works on the core voice platform.

The platform covers audio intake, conversation handling, speech output, connections to APIs and self-hosted voice AI models, and a voice harness.

Responsibilities

  • Help design, build and ship the core components of the voice platform.
  • Work with product managers and customers to learn their use cases and technical problems, and build toward their success.
  • Build and run large voice AI distributed systems spread across several regions and data centers.
  • Write clean, scalable, reusable code and enforce sound architecture and process, including code reviews and unit tests.
  • Improve the SRE practice by turning operational needs into requirements for software tooling.
  • Mentor colleagues and encourage knowledge sharing across voice AI engineering disciplines.

Requirements

  • 12+ years of relevant industry experience.
  • Hands-on experience building distributed voice AI systems at large operational scale.
  • 4+ years integrating LLMs into applications, not training them.
  • 4+ years developing in Python, Golang, Java or similar languages.
  • 2+ years building agents through prompt engineering and LLM-based experiences.
  • Experience running highly available distributed workloads on Kubernetes using a DevOps approach.
  • Experience building compliance and security software in regulated environments (an asset).
  • Critical thinking about AI in work processes, decision-making or problem-solving, such as using AI-powered tools, automating workflows, analyzing AI-driven insights, or assessing AI's impact on the function or industry.
  • Hands-on work with AI tools like Claude Code, Cursor or Windsurf.

Conditions

For roles in this location, base pay ranges from $181,200 to $317,100, plus equity where applicable, variable or incentive pay, and benefits.

Sales roles generally include an On Target Earnings incentive structure.

The base pay shown is a guideline; individual total compensation depends on qualifications, skill level, competencies and work location.

Pay depends on the geographic location of the role and may change with it.

Work persona is flexible, remote or required in office, assigned based on the nature of the work and work location.

Eligibility for a work persona may be checked by measuring the distance from your primary residence to the closest company office using a third-party service.

Benefits

  • Health plans, including flexible spending accounts.
  • 401(k) plan with company match.
  • ESPP.
  • Matching donations.
  • Flexible time away and family leave programs.

Where you’d work

Part of the week in the office

You can work from

  • United States

About the company

ServiceNow

  • Industry: SaaS

Office in San Diego, United States

Also hiring in United States, United Kingdom, Mountain View, United States and 15 more places

74 of their 222 open roles are remote

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Details14 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • Kubernetes
  • LLMs
Seniority
Staff
Type
Full-time
Equity
Equity offered
Industry
SaaS
Specialty
ML
Show 8 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Seniority
Staff
Experience
4+ years
Tech stack
  • Python
  • Kubernetes
  • LLMs

Location

Work model
Hybrid
Region
United States
Office
  • San Diego, United States
Remote from
  • United States

Compensation

Salary
$181,200 - 317,100 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
SaaS

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