
Mid-Level Speech Scientist/ Engineer
2 days ago
Key Accountabilities:
- Developing, optimizing & deploying state-of-the-art speech solutions:
- Automatic speech recognition
- Voice activity detection
- Speech enhancement
- MSc/Phd degree in Computer Science, Engineering or a related subject
- Experience in machine learning, deep learning, speech applications including ASR, VAD, Speech enhancement
- Extensive experience with speech recognition software such as PyTorch, Kaldi/K2, ESPnet, WeNet, OpenFST, Whisper
- Knowledge of modern speech recognition technologies: Voice Activity Detection, Automatic Speech Recognition, Speech enhancement (echo canceller (AEC), background noise reduction (NR))
- MLOps - AWS experience and cloud deployments (Kubernetes, Docker, Git)
- Strong programming ability (Python and optionally C/C )
- Excellent command of spoken and written English
- Very good communication skills
- Ambition, enthusiasm, and eagerness to learn, aptitude for analytical and creative thinking, with sharp attention to detail.
- Well-organized for both team and/ or solo assignments
- Accountable within demanding deadlines
- Experience with customization of ASR solutions
- Experience with end-to-end speech recognition (Connectionist Temporal Classification, RNN Transducer, attention-based models)
- Experience with robust speech recognition in real-life environment
- Fixed compensation;
- Long-term employment with the working days vacation;
- Development in professional growth (courses, training, etc);
- Being part of successful cutting-edge technology products that are making a global impact in the service industry;
- Proficient and fun-to-work-with colleagues;
- Apple gear
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