Senior Machine Learning Engineer, Voice Agents

📋 Description

• Architect and maintain the open-source speech-to-speech library, including pipeline design and
• Integrate new ASR, TTS, and end-to-end speech models while maintaining clean abstractions.
• Review community contributions, triage issues, manage releases, and grow the contributor community.
• Design the developer API and streaming protocol for the voice platform, including WebSockets/WebRTC
• Operate realtime GPU inference infrastructure, including concurrency, autoscaling, observability
• Collaborate with Hub and inference teams to facilitate integration of voice agents.

🎯 Requirements

• Senior-level engineering experience with ability to independently own architecture parts.
• Experience building developer-facing infrastructure in AI, ML, or developer tools.
• Significant open-source contributions to a Python library and strong async Python.
• Solid understanding of distributed systems and failure modes.
• Proven experience with realtime technology (streaming, WebSockets, WebRTC, audio/video pipelines).
• Practical production experience with LLMs or multimodal models.

🎁 Benefits

• Flexible working hours and remote work options.
• Health, dental, and vision benefits for employees and dependents.
• Parental leave and flexible paid time off.
• Company equity as part of compensation.
• Reimbursement for conferences, training, and education.
• Distributed, international work environment.