Senior Researcher, Streaming Speech AI (Remote)

Medium; À distance; EUR 180 000 - 267 000; Plein temps

Résumé du poste

A leading technology company is seeking a Senior Researcher in France to innovate in streaming speech recognition and real-time understanding. This role involves developing advanced models that impact next-generation voice applications and requires a strong research background, particularly in speech recognition and large language models. Candidates must possess deep knowledge of streaming architectures like RNN-T and be proficient in PyTorch. The position offers a competitive salary and a fully remote work environment.

Prestations

Competitive base salary

Equity compensation

Fully remote work

Employer-paid medical benefits

401k plan with employer match

Opportunity to work on AI technology

Inclusive culture focused on growth

Qualifications

• Deep knowledge of streaming architectures such as RNN‑T and CTC.
• Ability to bridge speech and text domains.
• Track record of publications at top research venues.

Responsabilités

• Design novel streaming ASR architectures improving accuracy.
• Research LLM-assisted speech-to-text techniques.
• Develop algorithms for streaming speaker diarization.
• Lead research initiatives from experimentation to deployment.
• Run systematic experiments with strong methodological rigor.
• Collaborate with engineering teams to translate outcomes into production.

Connaissances

Strong research background in speech recognition

Expertise in large language models

Proficiency in PyTorch

Experience with large-scale distributed training

Excellent experimental discipline

Strong communication skills

Outils

JAX

Flax

Description du poste

A leading technology company is seeking a Senior Researcher in France to innovate in streaming speech recognition and real-time understanding. This role involves developing advanced models that impact next-generation voice applications and requires a strong research background, particularly in speech recognition and large language models. Candidates must possess deep knowledge of streaming architectures like RNN-T and be proficient in PyTorch. The position offers a competitive salary and a fully remote work environment.