Senior Staff Machine Learning Engineer_Voice AI Engineer
About The Position
ServiceNow is seeking a Senior Staff Machine Learning Engineer specializing in Voice AI. This role involves contributing to the design, development, and implementation of the core Voice Platform, including Audio Acquisition, Conversation Management, Speech Generation, integration with APIs and self-hosted Voice AI models, and the Voice Harness. The engineer will partner with product managers to understand customer use cases and challenges, build and deploy large-scale Voice AI distributed systems, and enforce best practices in software engineering. Additionally, the role includes contributing to SRE practices, mentoring colleagues, and promoting knowledge sharing within the Voice AI engineering disciplines. ServiceNow is an AI-native company focused on freeing people from busywork to focus on meaningful work, leveraging its AI platform to help businesses work smarter, faster, and better.
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.
Nice To Haves
- Experience building software for compliance and security in regulated environments is considered an asset
- Experience building with AI tools such as Claude Code, Cursor, Windsurf
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
- 401(k) Plan with company match
- ESPP
- matching donations
- a flexible time away plan
- family leave programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
