Staff Machine Learning Engineer - Voip Infrastructure

ServiceNow

Atlanta, United States
Base: $173,100 - $303,000; bonus/equity: equity (w...
**
Sip/rtp, kamailio, rtpengine
Llm integration into voice platforms
Prompt engineering and llm features
** ServiceNow is seeking a Staff Machine Learning Engineer for VoIP Infrastructure who will contribute to the design and implementation of telephony platforms and AI-driven voice workloads. The ideal candidate should possess extensive experience with VoIP systems, programming, and cloud-native software, while also working collaboratively across teams to enhance product performance. **

Job Summary

  • Contribute to the design, development and implementation of VoIP infrastructure, telephony platforms, and observability features that power AI-driven voice workloads.
  • Collaborate with engineering, Product, and infrastructure teams to ensure our voice and AI platforms perform efficiently, scale reliably, and integrate seamlessly across SIP/RTP, Kamailio, RTPEngine, and related telecom systems.
  • Be a mentor for colleagues and help promote knowledge-sharing across telecom and AI engineering disciplines.

Matching Summary

Match Score: 75

** ServiceNow is seeking a Staff Machine Learning Engineer for VoIP Infrastructure who will contribute to the design and implementation of telephony platforms and AI-driven voice workloads. The ideal candidate should possess extensive experience with VoIP systems, programming, and cloud-native software, while also working collaboratively across teams to enhance product performance. **

Salary

Base: $173,100 - $303,000; Bonus/Equity: equity (when applicable), variable/incentive compensation; Benefits: health plans, 401(k) Plan with company match, ESPP, matching donations, flexible time away plan, family leave programs

Skills & Requirements

Must-have

  • SIP/RTP, Kamailio, RTPEngine
  • LLM integration into voice platforms
  • prompt engineering and LLM features
  • Python, GoLang, Java development
  • Kubernetes, DevOps approach
  • distributed systems, cloud-native software

Nice-to-have

  • software-defined networking
  • infrastructure as code
  • compliance and security
  • AI productivity tools
  • leveraging AI into work processes

Key Requirements

  • 4+ years of development experience
  • 4+ years of experience operating distributed workloads on Kubernetes
  • 4+ years of experience with infrastructure and platform operations
  • Hands-on experience building VoIP systems
  • Practical knowledge of Kamailio, RTPEngine, FreeSWITCH
  • Working knowledge of PSTN infrastructure

Work Rights

Not specified

Tailored Resume

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