Remote Staff Machine Learning Engineer - VoIP Infrastructure

Posted 3 hours ago

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Description:

  • Contribute to the design, development, and implementation of VoIP infrastructure and AI-driven voice workloads.
  • Collaborate with engineering, Product, and infrastructure teams for efficient performance and seamless integration across telecom systems.
  • Improve SRE practices by translating operational use cases into software tooling requirements.
  • Execute deployment and support activities for VoIP systems and AI/ML developers in production environments.
  • Build high-quality, scalable, and reusable code while enforcing software engineering best practices.
  • Own code from design to delivery, including telephony infrastructure and LLM integration.
  • Mentor colleagues and promote knowledge-sharing across telecom and AI engineering disciplines.

Requirements:

  • Hands-on experience with VoIP systems using SIP/RTP protocols.
  • Knowledge of Kamailio, RTPEngine, FreeSWITCH, SBCs, and PSTN systems.
  • Experience integrating applications on top of LLMs and prompt engineering.
  • 4+ years of development experience with Python, GoLang, Java, or similar languages.
  • 4+ years of experience with Kubernetes and operating distributed workloads.
  • Experience with cloud-native software and software-defined networking.
  • Familiarity with DevOps tooling (e.g., Helm, Ansible, Kubernetes).
  • Experience in compliance and security in regulated environments is a plus.

Benefits:

  • Base pay range of $176,100 - $308,200, plus equity and variable compensation.
  • Health plans, flexible spending accounts, 401(k) with company match, and family leave programs.

Job type

Experience level

Required experience

4 years

Salary

$176,100β€”$308,200 / year

Degree requirement

No degree required

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