Staff ML Engineer - VoIP Infrastructure for AI-driven Voice

ServiceNow; Seattle (WA); Hybrid; USD 176,000 - 308,000; Full time

Benefits offered by this job

Equity

Health plans

401(k) plan with company match

ESPP

Matching donations

Flexible time away plan

Family leave

Job summary

ServiceNow is seeking a Staff Machine Learning Engineer - VoIP Infrastructure to design, develop, and implement VoIP infrastructure and observability features powering AI-driven voice workloads. You will contribute across SIP/RTP, Kamailio, RTPEngine, and related telecom systems with a focus on reliability and scale.

You will collaborate with engineering, product, and infrastructure teams, mentor colleagues, and help integrate LLMs into real-time voice platforms while advancing the SRE practices

Qualifications

• Hands-on experience building VoIP systems using SIP/RTP protocols.
• Practical knowledge of Kamailio, RTPEngine, FreeSWITCH, SBCs, and PSTN systems.
• Experience integrating applications on top of LLMs.
• Experience in prompt engineering and developing LLM based features
• 4+ years of development experience with Python, Go, Java, or similar languages.
• 4+ years of operating highly available distributed workloads on Kubernetes following a DevOps approach.
• Working experience building distributed systems with cloud-native software.
• Experience with infrastructure as code and configuration management.
• Experience with DevOps tooling (e.g. Helm / Ansible / Kubernetes / Prometheus / Splunk / GitLab CI) is an asset
• Experience building software for compliance and security in regulated environments is an asset
• 4+ years of infrastructure and platform operations, deployments, SRE, and DevOps with a continued focus on improving Platform health is considered an asset

Responsibilities

• Contribute to the design, development and implementation of VoIP infrastructure, telephony platforms, and observability features that power AI-driven voice workloads
• Collaborate withengineering,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.
• Contribute to the continuous improvement of the SRE practice by turning operational telephony and AI workload use cases into requirements for software tooling.
• Contribute to the execution of deployment and support activities for VoIP systems and AI/ML developersoperatingin production voice environments.
• Build high-quality, clean,scalableand reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.).
• Work with product owners to understand detailed requirements and own your code from design, implementation, test automation, and delivery — spanning both telephony infrastructure and LLM integration layers.
• Experience integrating LLMs into voice platforms and real-time communication systems.
• Be a mentor for colleagues and help promote knowledge-sharing across telecom and AI engineering disciplines.

Skills

Python

Go

Java

LLM integration

Prompt engineering

SRE practices

DevOps

Tools

Kamailio

RTPEngine

FreeSWITCH

SBCs

PSTN systems

Kubernetes

Helm

Ansible

Prometheus

Splunk

GitLab CI

Job description

ServiceNow is seeking a Staff Machine Learning Engineer - VoIP Infrastructure to design, develop, and implement VoIP infrastructure and observability features powering AI-driven voice workloads. You will contribute across SIP/RTP, Kamailio, RTPEngine, and related telecom systems with a focus on reliability and scale.

You will collaborate with engineering, product, and infrastructure teams, mentor colleagues, and help integrate LLMs into real-time voice platforms while advancing the SRE practices