Senior Machine Learning Engineer - Speech to Text

📋 Description

• Contribute to the improvements of core components of our speech stack, including speech
• Design and improve state-of-the-art speech systems, adapting modern architectures to real-world
• Improve real-time performance, helping optimize streaming pipelines to balance latency, accuracy
• Increase robustness and reliability, ensuring consistent performance across accents, specialties
• Strengthen our evaluation standards, defining and refining metrics around WER, DER, latency
• Contribute to the speech data strategy, improving dataset quality, annotation processes, and

🎯 Requirements

• Deep expertise in speech and audio ML systems (5+ years), including experience with ASR
• Strong understanding of real-time or streaming ML systems, with experience optimizing for latency
• Experience working with transformer-based or hybrid speech architectures (e.g., wav2vec2
• Solid knowledge of audio preprocessing, feature extraction, and robustness techniques.
• Strong Python skills and experience deploying ML systems in production.
• Ability to design and evaluate experiments with rigorous metrics tailored to speech systems (WER

🎁 Benefits

• Join a team of excellence-driven, curious, and genuinely kind individuals.
• Exercise during the work day at least 3 times a week (yoga, running, pilates, or HIIT).
• Regular off-sites to gather the team.
• Travel to see each other in places like NY, Paris, San Francisco, and other vibrant cities.
• Snacking on chocolate or nuts.