[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All ServiceNow jobs](https://jobs.opennash.com/companies/servicenow/) · [Search jobs](/search/) ServiceNow · Seattle, WA # Staff Machine Learning Engineer - VoIP Infrastructure Seattle, Washington, United States Full-time Senior individual contributor $176,100 - $308,200 Data & Analytics Listed on ServiceNow’s official careers site. Posted October 15, 2026. Check that it is still open and apply there. [Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000155800559-staff-machine-learning-engineer-voip-infrastructure-) [OpenNash Jobs](https://jobs.opennash.com/) / [ServiceNow](https://jobs.opennash.com/companies/servicenow/) / Staff Machine Learning Engineer - VoIP Infrastructure ## Job description As a Staff Machine Learning Engineer - VoIP Infrastructure you will: 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. 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 developers operating in production voice environments. Build high-quality, clean, scalable and 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. ## Qualifications To be successful in this role you have: Hands-on experience building VoIP systems using SIP/RTP protocols; Practical knowledge of Kamailio, RTPEngine, FreeSWITCH, SBCs, and PSTN systems (or similar); Working knowledge of PSTN infrastructure and telecom protocols; Experience integrating applications on top of LLMs (using existing models, not building them); Experience in prompt engineering and developing LLM based features 4+ years of development experience with Python, GoLang, Java or similar languages. 4+ years of experience operating highly available distributed workloads on Kubernetes following a DevOps approach. Working experience building distributed systems with cloud-native software; Experience with software-defined networking, infrastructure as code and configuration management; Experience with DevOps tooling (e.g. Helm / Ansible / Kubernetes / Prometheus /Splunk/ GitLab CI) is considered an asset Experience building software for compliance and security in regulated environments is considered an asset 4+ years of experience with infrastructure and platform operations, deployments, SRE, and DevOps with a continued focus on improving Platform health is considered an asset For positions in this location, we offer a base pay of $176,100 - $308,200, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. ## At a glance - Posted by the employer: Oct 15, 2026 - First seen by OpenNash: Oct 10, 2026 - Last checked: Oct 17, 2026 - Listed for: 7 days - Location: Seattle, Washington, United States - Employment type: Full-time - Pay: $176,100 - $308,200[Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000155800559-staff-machine-learning-engineer-voip-infrastructure-) ## More jobs at ServiceNow ### [Advisory Solution Consultant - Data & Analytics](https://jobs.opennash.com/companies/servicenow/jobs/5b230c8eb9d3e180c159/) Tokyo, Japan ### [Advisory Solution Consultant, Workflow Data Fabric and Intelligent Automation](https://jobs.opennash.com/companies/servicenow/jobs/8b282ddd80225df325a1/) San Diego, California, United States ### [Data Operations Team Lead (Armis/Veza)](https://jobs.opennash.com/companies/servicenow/jobs/f536ff6e227c8f42b2e7/) Tel Aviv-Yafo, Tel Aviv District, Israel ### [Data Product Manager, Marketing Technology](https://jobs.opennash.com/companies/servicenow/jobs/1b9fb026261ccf759cd2/) Santa Clara, CALIFORNIA, United States ### [Director, Data & Storage Reliability Engineering](https://jobs.opennash.com/companies/servicenow/jobs/cbd742a986dbb64f8e2a/) Santa Clara, California, United States ## Similar jobs at other companies ### [Senior Staff Engineer, Machine Learning Engineering ( On-device Learning SW)](https://jobs.opennash.com/companies/qualcomm/jobs/d561df305202050c72d5/) Qualcomm · San Diego, California, United States of America ### [Staff Machine Learning Software Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/1c015546a5addf14b5ac/) Qualcomm · San Diego, California, United States of America ### [AI Machine Learning Engineering Staff](https://jobs.opennash.com/companies/lockheed-martin/jobs/a50fa89c9d061673bf86/) Lockheed Martin · Virtual Three, TX ### [A/AI Machine Learning Engineering Staff - Clearance Required](https://jobs.opennash.com/companies/lockheed-martin/jobs/fee14b837ea19e8438a2/) Lockheed Martin · Huntsville, AL ### [Senior Machine Learning Engineer](https://jobs.opennash.com/companies/microsoft/jobs/a28bc03521860e161cf2/) Microsoft · United States, Massachusetts, Cambridge OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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