Senior Machine Learning Scientist (ASR)

Location: Paris, France — hybrid, with 3 days in the office

Salary: €70,000–€87,200 per year

Company

hirify.global develops connected audio products and voice-control experiences for music control and content discovery.

What you will do

• Design and train machine learning models for automatic speech recognition and wakeword detection.
• Optimize models for music entities, loudspeaker control, and home automation.
• Define data-generation, testing, and audio-augmentation strategies for far-field acoustic conditions.
• Maintain scalable training and evaluation pipelines and ship models efficiently to production.
• Set technical direction for the ASR domain and mentor team members on machine learning practices.
• Collaborate with cloud backend and embedded engineering teams to optimize performance across hardware and deployment environments.

Requirements

• 8+ years of experience in machine learning research and engineering for voice applications.
• PhD or Master’s degree in computer science, a related technical field, or equivalent experience.
• In-depth knowledge of speech processing, ASR, wakeword detection, audio features, RNN-T, and Transformers.
• Experience owning the full model lifecycle from data generation and training through evaluation and production deployment.
• Advanced Python and machine learning toolkit knowledge, including PyTorch.
• Intermediate knowledge of Rust, C, or C++.

Nice to have

• Experience with real-time, low-latency, streaming ASR.
• Experience with model adaptation for large entity catalogs, including shallow-fusion biasing, rescoring, and error correction.
• Understanding of far-field ASR acoustics and data augmentation.
• MLOps and software engineering experience for efficient training and data infrastructure.

Culture & Benefits

• Work with an experienced audio machine learning team within hirify.global Voice Control.
• Collaborate across machine learning research, cloud backend, and embedded engineering.
• Relocation assistance and work visa or residence permit sponsorship are not available.

Hiring process

• Profile review followed by an update on the application status.
• The hiring process may take time as candidates are evaluated carefully.