Staff Machine Learning Engineer - VoIP Infrastructure
Core
Design, develop, and implement VoIP infrastructure and telephony platforms to power AI-driven voice workloads, integrating LLMs into real-time communication systems.
Role type
Staff Machine Learning Engineer (VoIP Infrastructure)
Builds
Scalable, reliable voice and AI platforms using SIP/RTP, Kamailio, RTPEngine, and related telecom systems.
Domain
Telecommunications + AI/ML
Deliverable
production ML models
Required skills
VoIP systems (SIP/RTP), Kamailio, RTPEngine, FreeSWITCH, SBCs, PSTN systems, LLM integration, prompt engineering, Python, GoLang, Java, Kubernetes, distributed systems, cloud-native software, software-defined networking, infrastructure as code, DevOps tooling
Preferred skills
SRE practices, compliance and security in regulated environments, platform operations
Responsibilities
Design and implement VoIP infrastructure and observability features; collaborate with engineering and product teams to ensure platform efficiency and scalability; improve SRE practices by translating operational use cases into software tooling requirements; execute deployment and support for VoIP systems and AI/ML developers; build scalable, reusable code following best practices; mentor colleagues across telecom and AI engineering disciplines
Seniority
Staff, hands-on IC with mentorship
