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# Machine Learning Scientist (ASR)

- **Company:** Sonos
- **Location:** Paris, France (Remote available)
- **Experience:** Expert
- **Salary:** €70,000.0 - €87,200.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Data Infrastructure, Python (Programming Language), Machine Learning, Software Engineering, Speech Recognition, Pytorch, Backend, Information Technology, Low Latency, Machine Learning Operations, Data Generation
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/senior-machine-learning-scientist-asr-sonos-8550358

## About the Role

* 8+ years experience in machine learning research & engineering for voice applications
 * A PhD or Master's degree in computer science, or a related technical field (or equivalent experience)
 * In-depth knowledge of speech processing (ASR, wakeword detection, audio features), particularly latest architectures for automatic speech recognition (RNN-T, Transformers)
 * Experience in owning the whole model development lifecycle from data generation, training, evaluation to shipping models for production
 * Advanced knowledge of Python and common machine learning toolkits (PyTorch)
 * Intermediate knowledge of a low-level compiled language (Rust, C, C++)

Preferred Skills

 * Experience in developing models for real-time, low latency, streaming ASR
 * Experience in model adaptation techniques for large entity catalogs (shallow-fusion biasing, rescoring, error correction)
 * Understanding of the particular challenges of far-field ASR, including acoustics and data augmentation for model training and evaluation
 * MLOps and software engineering for efficient training and data infrastructure

## Description

* Work in the Audio Machine Learning team of Sonos Voice Control, together with a group of experienced machine learning engineers and researchers
 * Design and train state-of-the-art machine learning models for automatic speech recognition and wakeword detection
 * Ensure our models perform the best they can on specialised domains, such as music entities, loudspeaker control and home automation
 * Define and implement the data strategy for training and testing, as well as audio augmentation to reflect the far-field acoustic conditions of our products
 * Maintain and improve scalable and efficient training and evaluation pipelines
 * Contribute to the team's roadmap and set the technical direction for the ASR domain
 * Mentor other team members on ML best practices, experiment planning, and model analysis
 * Collaborate with the cloud backend and embedded engineering teams to ensure our models perform the best they can in the different environments


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