Staff Machine Learning Engineer - VoIP Infrastructure

Description

The team works on VoIP infrastructure, telephony platforms and observability tooling that support AI-driven voice workloads.

The role is a staff-level position spanning telephony infrastructure and LLM integration, working alongside engineering, product and infrastructure teams to keep voice and AI platforms fast, reliable and well connected across SIP/RTP, Kamailio, RTPEngine and related telecom systems.

You would also mentor colleagues and share knowledge across telecom and AI engineering.

Responsibilities

• Help design, build and roll out VoIP infrastructure, telephony platforms and observability features for AI voice workloads.
• Turn operational telephony and AI workload needs into requirements for software tooling, helping to improve the SRE practice.
• Support deployment and day-to-day operation of VoIP systems and of AI/ML developers working in live voice environments.
• Work with product owners to clarify requirements, then own your code from design through implementation, test automation and delivery, across both telephony and LLM integration layers.
• Write clean, scalable, reusable code and uphold engineering standards such as code reviews and unit testing.
• Integrate LLMs into voice platforms and real-time communication systems.

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, cloud-native systems.
• Experience with software-defined networking, infrastructure as code and configuration management.
• Experience with DevOps tools such as Helm, Ansible, Kubernetes, Prometheus, Splunk or GitLab CI is an asset.
• Experience building software for compliance and security in regulated environments is an asset.
• 4+ years in infrastructure and platform operations, deployments, SRE and DevOps, with a focus on platform health, is an asset.

Conditions

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

Pay depends on location and on factors such as qualifications, skill level and competencies, and the base pay shown is a guideline only.

Work persona (flexible, remote or in office) is set by the nature of the work and your work location. The company may use a third-party service to check the distance between your home and the nearest office.

Benefits

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