Senior Machine Learning Engineer, Voice Agents
New
H
Hugging FaceArtificial Intelligence
EMEA RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonWebRTCDistributed Systems
Requirements
- Senior-level expertise in owning substantial architectural components.
- Proven experience building developer-facing infrastructure at an AI or developer-tools company.
- Deep proficiency in Python, including async programming and distributed systems.
- Substantial open-source contributions to Python libraries.
- Experience shipping real-time systems, such as WebSockets, WebRTC, or audio/video streaming pipelines.
- Practical experience deploying LLMs or multimodal models into production environments.
- Strong written communication skills and a habit of collaborative, async work.
- Motivated interest in voice and conversational AI technologies.
Responsibilities
- Take architectural ownership of open-source libraries like speech-to-speech, focusing on pipeline design and real-time latency budgets.
- Integrate new ASR, TTS, and end-to-end speech models while maintaining clean abstractions.
- Design and implement developer APIs, streaming protocols, and session lifecycle management for hf-voice.
- Build and optimize real-time GPU inference, including concurrency, autoscaling, and observability.
- Take products from demo stage to production, establishing SLOs and load testing protocols.
- Engage with the community by reviewing PRs, triaging issues, and creating documentation, examples, and templates.
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