Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer (Voice AI): Building Hugging Face’s open voice-agent stack, including the speech-to-speech library and hf-voice product, with an accent on realtime inference, developer APIs, and open-source infrastructure. Focus on designing streaming protocols, serving voice models on GPUs, managing concurrency and autoscaling, and taking the platform from demo to production reliability.
Location: Remote
Company
Hugging Face builds an open platform and open-source tools for AI developers, including models, datasets, applications, and machine learning infrastructure.
What you will do
- Own the architecture of the open-source speech-to-speech library, including pipeline design, latency budgets, and realtime-loop reliability.
- Integrate ASR, TTS, and end-to-end speech models while maintaining clean abstractions.
- Design hf-voice developer APIs and streaming protocols covering session lifecycle, WebSockets/WebRTC transport, authentication, errors, and versioning.
- Build realtime GPU inference serving with concurrency, autoscaling, observability, and cost optimization.
- Take the product from demo to production through load testing, SLOs, and graceful degradation.
- Write documentation and examples, support Reachy Mini deployments, and collaborate with the Hub, inference, and open-source communities.
Requirements
- Senior engineering experience with autonomous ownership of substantial architecture.
- Experience building developer-facing infrastructure for AI or developer tools, such as inference APIs or agent infrastructure.
- Substantial open-source contributions to a Python library and comfort with async Python and distributed systems.
- Experience shipping realtime systems involving streaming, WebSockets, WebRTC, audio, video, or live inference.
- Production experience with LLMs or multimodal models, plus clear written communication and asynchronous collaboration.
- Strong motivation to work on voice and conversational AI.
Nice to have
- Contributions to voice-agent frameworks or low-level inference runtimes.
- Experience with ASR, TTS, speech-model evaluation, GPU serving, quantization, or on-device inference.
- Audio pipeline knowledge, including VAD, echo cancellation, jitter buffers, barge-in, and turn detection.
- Experience shipping to embedded or robotics targets and a public record of talks, blog posts, or demos.
Culture & Benefits
- Remote options, flexible working hours, and a distributed workplace with offices in NYC and Paris.
- Health, dental, and vision benefits for employees and dependents.
- Parental leave, flexible paid time off, and workstation equipment when needed.
- Reimbursement for relevant conferences, training, and education.
- Company equity for employees and support for diversity, equity, and inclusion.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
Datadog
11 дней назад
Senior Applied Scientist (AI Platform)
13 дней назад
Software Engineer (AI)
160 000 - 200 000$
10 дней назад
Senior Software Engineer, Machine Learning (AI)
160 000 - 200 000$
10 дней назад
Senior AI Engineer (Product Neuro Forge Team)
Sber
2 дня назад
Senior Deep Learning Engineer (AI)
10 дней назад