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Senior Machine Learning Engineer (Voice & Video AI)

Telnyx· Software Engineering
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Hybrid (Multiple locations)$0full-timePosted 3d ago

About the role

Senior ML Engineer focused on real-time voice and video AI, including speech-to-speech and multimodal models, with end-to-end product ownership across global production infrastructure.

Responsibilities

  • Real-time voice and video models: evaluate, adapt, and deploy speech-to-speech and full-duplex video models, including expressive avatars and synchronized audiovisual generation.
  • Applied research and model adaptation: track emerging research, benchmark approaches, fine-tune models for languages, accents, and specialized domains, and build data/evaluation pipelines.
  • Production performance at global scale: train and deploy models on GPU hardware across Telnyx’s global infrastructure; optimize streaming inference, GPU utilization, latency, and cost while maintaining quality and reliability.
  • Complete product delivery: own features from model experiments through backend services, APIs, data models, and customer portal interfaces; use advanced coding agents to implement, test, debug, and review changes across the stack.

Qualifications

  • 6+ years in machine learning or related engineering, with production experience and depth in speech generation, speech-to-speech systems, video generation, or multimodal models.
  • Strong Python and PyTorch skills and hands-on experience adapting pretrained models.
  • Experience with streaming or latency-sensitive systems, rigorous evaluation, and tradeoffs between model quality, responsiveness, reliability, and cost.
  • End-to-end engineering ownership: able to work beyond the ML codebase, including backend and frontend changes, navigating unfamiliar repos, and following a feature to a customer experience.
  • Agent-driven development mindset: desire to work with the latest coding agents and harnesses, improving workflows as tools evolve.

Skills

Required:PythonPyTorchSpeech generation / speech-to-speech systemsMultimodal models

Benefits

  • Access to state-of-the-art hardware
  • Global deployment footprint
  • Ownership of models and products powered by AI
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About Telnyx

Telnyx owns the full stack from carrier network to AI inference, so there's nothing between your agent and the person on the other end. No handoffs. No lag. Just voice, messaging, and AI that keeps up.

Carrier-owned global communications platform for voice AI agents, SIP trunking, programmable voice, SMS/MMS, and AI inference. Single vendor for the full voice-AI stack on a Tier-1 network across 40+ countries.

Cloud communicationsGlobal eSIMMessagingPhone number APIPrivate networkProgrammable SMSSIP trunkingVoIP
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