Senior Machine Learning Engineer
Required skills
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++)
Technologies
PyTorch, Rust, C, C++, Python
Responsibilities
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
Seniority
Senior
Domain
Audio Machine Learning, Voice Control, Automatic Speech Recognition (ASR), Wakeword Detection