Staff Machine Learning Engineer – VoIP Infrastructure

🔥 1 hour ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $176.1k - $308.2k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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ServiceNow

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2004

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 Post-IPO Equity on 2022-12

Enterprise • SaaS • Artificial Intelligence

ServiceNow is a platform that offers AI-powered solutions and automation for businesses to enhance productivity and streamline workflows. Its AI agents are designed to autonomously learn, reason, make decisions, and take action to transform business processes across various domains such as IT, HR, customer service, and app development. The platform enables organizations to integrate data from diverse sources, facilitating business transformation and operational efficiency. Recognized for its leadership in AI IT service management and trusted by a significant portion of the Fortune 500, ServiceNow collaborates with other global leaders like Microsoft and AWS to bring advanced AI capabilities to modernize business operations.

📋 Description

• Design, develop, and implement VoIP infrastructure, telephony platforms, and observability features powering AI-driven voice workloads • Collaborate with engineering, Product, and infrastructure teams to optimize performance, scalability, reliability, and integration across SIP/RTP, Kamailio, RTPEngine, and related telecom systems • Improve SRE practices by translating operational telephony and AI workload use cases into software tooling requirements • Execute deployment and support activities for VoIP systems and AI/ML developers operating in production voice environments • Build clean, scalable, reusable code and enforce software engineering best practices, including code reviews and unit testing • Own code from design through implementation, test automation, and delivery across telephony infrastructure and LLM integration layers • Integrate LLMs into voice platforms and real-time communication systems • Mentor colleagues and promote knowledge-sharing across telecom and AI engineering disciplines

🎯 Requirements

• 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 • 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 such as Helm, Ansible, Kubernetes, Prometheus, Splunk, and GitLab CI • Experience building software for compliance and security in regulated environments is an asset • 4+ years of experience with infrastructure and platform operations, deployments, SRE, and DevOps is an asset

🏖️ Benefits

• Equity (when applicable) • Variable/incentive compensation • Health plans • Flexible spending accounts • 401(k) Plan with company match • ESPP • Matching donations • Flexible time away plan • Family leave programs • Flexible work persona / remote work options • Reasonable accommodation support during the application process

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