Staff Machine Learning Engineer - VoIP Infrastructure

Description

The team builds VoIP infrastructure, telephony platforms and observability features that run AI-driven voice workloads.

This role is a staff-level position on the Machine Learning Engineering side of VoIP infrastructure.

Responsibilities

• Help design, build and roll out VoIP infrastructure, telephony platforms and observability features that support AI-driven voice workloads.
• Work with engineering, Product and infrastructure colleagues so voice and AI platforms run efficiently, scale reliably and connect cleanly across SIP/RTP, Kamailio, RTPEngine and related telecom systems.
• Help improve SRE practice by turning telephony and AI workload needs into requirements for software tooling.
• Support deployment and day-to-day operation of VoIP systems and of the AI/ML developers who work in live voice environments.
• Write clean, scalable, reusable code and enforce sound engineering architecture and process, including code reviews and unit testing.
• Work with product owners to pin down detailed requirements, then own your code from design through implementation, test automation and delivery across telephony and LLM integration layers.
• Integrate LLMs into voice platforms and real-time communication systems.
• Mentor colleagues and encourage knowledge sharing across telecom and AI engineering.

Requirements

• Hands-on experience building VoIP systems on SIP/RTP.
• Practical knowledge of Kamailio, RTPEngine, FreeSWITCH, SBCs and PSTN systems, or similar.
• Working knowledge of PSTN infrastructure and telecom protocols.
• Experience building applications on top of existing LLMs, without training models yourself.
• Experience with prompt engineering and building LLM-based features.
• 4+ years of development experience in Python, Go, Java or a similar language.
• 4+ years running highly available distributed workloads on Kubernetes using a DevOps approach.
• Experience building distributed systems with cloud-native software.
• Experience with software-defined networking, infrastructure as code and configuration management.
• Asset: experience with DevOps tools such as Helm, Ansible, Kubernetes, Prometheus, Splunk or GitLab CI.
• Asset: experience building software for compliance and security in regulated environments.
• Asset: 4+ years in infrastructure and platform operations, deployments, SRE and DevOps, with a focus on platform health.

Conditions

Base pay is $176,100 to $308,200, plus equity where applicable, variable or incentive pay and benefits.

The base pay range is a guideline. Individual pay depends on qualifications, skill level, competencies and work location, and pay follows the geographic location of the role and may change.

Work persona is flexible, remote or in office, assigned by the nature of the work and work location. The company may check your home distance from its nearest office with a third-party service to confirm eligibility.

Benefits

• Health plans, including flexible spending accounts.
• 401(k) plan with company match.
• ESPP.
• Matching donations.
• Flexible time away plan and family leave programs.