Staff Machine Learning Engineer – VoIP Infrastructure

🔥 2 minutes ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ 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 for AI-driven voice workloads • Collaborate with engineering, product, and infrastructure teams to optimize, scale, and integrate voice and AI platforms • Translate operational telephony and AI workload use cases into software tooling requirements for continuous SRE improvement • Execute deployment and support activities for VoIP systems and AI/ML developers in production voice environments • Build clean, scalable, reusable code using software engineering best practices, code reviews, and unit testing • Work with product owners to understand requirements and own code through design, implementation, test automation, and delivery • 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 using 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 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 is considered an asset

🏖️ Benefits

• Flexible work persona and remote work eligibility • Mentorship and knowledge-sharing opportunities • Accessible and inclusive application experience • Reasonable accommodation support during the application process

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