Senior Machine Learning Engineer - Speech (Remote, San Francisco Hours)
We are seeking a Senior Machine Learning Engineer specializing in speech technology to help create cutting-edge AI/ML products in healthcare. You'll be responsible for developing advanced speech recognition (ASR), speech-to-speech, and text-to-speech (TTS) systems, optimizing speech models, and implementing evaluation metrics to ensure quality and accuracy.
Responsibilities:
- Develop advanced ML models for ASR, TTS, and speech processing systems.
- Research and implement new algorithms and techniques in speech and audio processing.
- Curate, clean, and annotate large-scale speech datasets for training.
- Develop robust evaluation metrics for speech model performance.
- Fine-tune and deploy open-source models for speech tasks.
- Collaborate with cross-functional teams to integrate speech technologies into applications.
Requirements:
- 5+ years of experience in ML, with 2+ years in speech/audio processing.
- Proficiency in Python and PyTorch.
- Strong understanding of ASR, TTS, and speech processing techniques.
- Knowledge of deep learning architectures (CNNs, transformers).
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps.
- Bonus: Experience with healthcare speech applications.
Note: This is a remote position, but you must be comfortable working San Francisco hours, at least until lunchtime in SF if you are based in Europe.
Competitive salary, stock options, and great benefits. Apply now.