Senior ML Researcher, Audio — Remote & Equity

DeepRec.ai; San Francisco (CA); Híbrido; USD 250 000 - 300 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Healthcare

Dental & Vision

Equity

Remote-friendly (US)

Resumo da oferta

DeepRec is seeking a Machine Learning Researcher focused on audio to advance production-grade speech technologies. You will develop TTS, STT, and neural audio codecs, translating research into scalable services.

You will collaborate with engineering and product teams, train large models on large audio datasets, and ensure real-time performance in production. Remote-friendly across the US with hybrid options in SF.

Qualificações

• Strong Python skills and experience training or running large models.
• Hands-on experience building or improving TTS, ASR, or neural audio codecs.
• Track record of original, hands-on technical work.
• Ability to work autonomously and manage experiments.

Responsabilidades

• Build TTS models that sound natural and expressive.
• Develop STT systems robust to accents, noise, and phone quality.
• Research neural audio codecs and efficient compression.
• Explore LLM-audio understanding and real-time inference.
• Prepare large audio datasets and scale training across GPUs.

Conhecimentos

Python

TTS/ASR

Research experience

Real-time systems

Autonomy

Descrição da oferta de emprego

DeepRec is seeking a Machine Learning Researcher focused on audio to advance production-grade speech technologies. You will develop TTS, STT, and neural audio codecs, translating research into scalable services.

You will collaborate with engineering and product teams, train large models on large audio datasets, and ensure real-time performance in production. Remote-friendly across the US with hybrid options in SF.