Senior Staff Machine Learning Engineer_Voice AI Engineer

ServiceNow • Santa Clara, CA

3d

About The Position

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.

Requirements

• 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.
• 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

Nice To Haves

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

Responsibilities

• 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

Benefits

• health plans
• flexible spending accounts
• a 401(k) Plan with company match
• ESPP
• matching donations
• a flexible time away plan
• family leave programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed