Senior Machine Learning Engineer, Voice Agents

🔥 9 minutes ago

🇫🇷 France – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Hugging Face

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Hugging Face is a collaborative platform for the machine learning community, focusing on models, datasets, and applications. It offers a wide range of tools and resources for creating, discovering, and sharing machine learning models and datasets. Hugging Face provides open-source ML tools, including frameworks for PyTorch, TensorFlow, and JAX, as well as advanced solutions for businesses through its enterprise offerings. The company hosts thousands of models, datasets, and applications, serving as a central hub for AI research and development.

📋 Description

• Own architecture for substantial parts of the speech-to-speech open-source library, including pipeline design, latency budget, and realtime-loop reliability • Integrate new ASR, TTS, and end-to-end speech models while maintaining clean abstractions • Review community pull requests, triage issues, cut releases, and grow project contributors • Design the hf-voice developer API and streaming protocol, including session lifecycle, WebSockets/WebRTC transport, authentication, error semantics, and versioning • Build realtime GPU inference serving with concurrency, autoscaling, observability, and cost-per-session optimization • Collaborate with Hub and inference teams to simplify voice-agent integration into products and demos • Take hf-voice from demo to production through load testing, SLOs, and graceful degradation • Write documentation, examples, and templates for developers • Support existing deployments, beginning with the Reachy Mini fleet • Publicly discuss the work through blog posts, demos, or conference talks

🎯 Requirements

• Senior engineer able to own a substantial part of an architecture and drive it forward autonomously • Experience building developer-facing infrastructure at an AI or developer-tools company, including inference APIs or agent infrastructure • Substantial open-source contributions to a Python library • Comfortable with async Python and distributed systems, including their failure modes • Experience shipping realtime systems involving streaming, WebSockets, WebRTC, audio or video pipelines, or live inference • Practical production experience with LLMs or multimodal models • Clear written communication and ability to collaborate asynchronously and publicly • Motivation by voice and conversational AI • Contributions to voice-agent frameworks such as speech-to-speech, Pipecat, LiveKit Agents, Vocode, or TEN • Contributions to llama.cpp or another low-level inference runtime • Hands-on experience with ASR, TTS, or end-to-end speech models, including latency and quality trade-off evaluation • GPU serving, quantization, or on-device inference experience • Audio pipeline knowledge including VAD, echo cancellation, jitter buffers, barge-in, and turn detection • Experience shipping to embedded or robotics targets • Public track record through talks, blog posts, or demos

🏖️ Benefits

• Diversity, equity, and inclusivity-focused workplace • Equal opportunity employer and nondiscrimination commitment • Reimbursement for relevant conferences, training, and education • Flexible working hours • Remote work options • Health, dental, and vision benefits for employees and dependents • Parental leave • Flexible paid time off • Opportunity for remote employees to visit NYC and Paris offices • Workstation equipment provided as needed • Company equity for all employees • Community supporting the ML/AI community