Description
We're seeking a Senior Machine Learning Engineer to build the next generation of conversational voice and video AI. You'll work on speech-to-speech models, full-duplex audiovisual interaction, multilingual capabilities, and adaptation for specialized domains.
What You'll Work On
- Real-time voice and video models: Evaluate, adapt, and deploy speech-to-speech and full-duplex video models.
- Applied research and model adaptation: Track emerging research and open-source releases, benchmark promising approaches, and fine-tune models.
- Production performance at global scale: Train and deploy models on state-of-the-art GPU hardware across Telnyx's global infrastructure.
- Complete product delivery: Own features from model experiments through backend services, APIs, data models, and customer portal interfaces.
What You'll Work With
- Models and data: Python, PyTorch, open-source speech and multimodal models, audio and video processing pipelines.
- Infrastructure: State-of-the-art GPU hardware, globally deployed inference services, Docker, Kubernetes.
- Product and development: Backend APIs, databases, frontend customer portals, and state-of-the-art coding agents and development harnesses.
What We're Looking For
- Deep ML expertise: 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 systems judgment: Experience with streaming or latency-sensitive systems, rigorous evaluation, and the tradeoffs between model quality, responsiveness, reliability, and cost.
- End-to-end engineering ownership: Comfortable working beyond the ML codebase,making backend and frontend changes.
- An agent-driven development mindset: Actively wanting to work with the latest coding agents and harnesses.