Principal Machine Learning Engineer - VoIP Infrastructure
Santa Clara, California, United States
USD 236K-413K Senior-level Full Time
Tasks
- Architect VoIP infrastructure and observability features
- Enforce software engineering best practices including code reviews unit testing
- Ensure voice and AI platforms scale reliably
- Integrate LLM powered features into real time voice pipelines
- Lead deployment and support for VoIP systems and AI ML developers
- Lead design and implementation of VoIP and CCaaS integrations
- Mentor colleagues and promote knowledge sharing
- Own code from design through delivery and test automation
- Turn operational telephony requirements into software tooling
Perks/Benefits
- 401k plan
- ESPP
- Family leave programs
- Flexible spending accounts
- Flexible time away plan
- Matching donations
Skills/Tech-stack
Ansible | Cloud Native | Configuration Management | DevOps | Distributed Systems | FreeSWITCH | GitLab CI | Go | Helm | Infrastructure as Code | Java | Kamailio | Kubernetes | Language Models | Large Language Models | Machine Learning | PSTN | Prometheus | Prompt engineering | Python | RTP | RTPEngine | SIP | SRE | Session Border Controller | Software-defined networking | Splunk | VoIP | “as-code”
Education
N/A
Regions
Countries
States
Cities
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