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Tech Stack
Tools & technologiesDockerKerasLinuxPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Research and evaluate state-of-the-art modeling techniques in speech processing
- Design, conduct and analyze experiments in speech-related tasks (e.g., ASR, speaker recognition, diarization, TTS)
- Develop experimental prototypes and production-ready components in Python
- Lead or contribute to data collection, curation, and preprocessing strategies
- Collaborate closely with multidisciplinary teams to translate research into deployable solutions
Requirements
What you’ll need- 3+ years of experience as a Speech engineer working in at least one of the following areas: ASR, Speaker Verification, TTS, or Diarization
- Strong experience with deep learning for speech and audio systems, including model training, evaluation, and optimization
- Comfortable working across the full pipeline: data, modeling, evaluation and deployment
- Be extremely motivated to learn
- Linux environments and command line tools
- Python
- Pytorch
- Tensorflow/Keras
- Kaldi
- pyannote-audio
- Huggin Face
- Git
- Docker
Benefits
Comp & perks- Flexible work arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
speech processingASRspeaker recognitiondiarizationTTSdeep learningmodel trainingmodel evaluationmodel optimizationdata preprocessing
Soft Skills
collaborationmotivation to learn
