Stealth
ML Research Engineer - Speech
- Eligibility
- Not stated
- Batch
- Not stated
- Experience
- 1–3 years
- Pay
- Competative
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About this role
About the role: - The opportunity focuses on research engineering for speech and audio machine-learning systems. - Candidates should have 1–3 years of machine-learning experience. - The role involves developing speech models from the ground up rather than only adapting existing systems. - Applicants are expected to be currently based in Bangalore. What you'll work on: - Pre-train Speech-to-Text models from random initialization. - Train Text-to-Speech models from scratch using modern speech architectures. - Work with architectures and techniques such as Conformer, Zipformer, Flow-Matching and Neural Codecs. - Fine-tune and adapt speech systems for Indian languages and Hinglish. - Optimize models for specialized BFSI terminology and vocabulary. - Develop audio tokenizers and components that connect speech systems with large language models. - Build low-latency streaming decoders for real-time speech applications. - Translate research-paper ideas into clean and functional PyTorch implementations. - Build and manage speech-data pipelines, including 8 kHz telephony simulation and forced alignment. - Optimize models for production using ONNX, TensorRT and quantization techniques. What we're looking for: - Applicants must have at least one practical speech or audio machine-learning project. - Hands-on experience training a model from random initialization in PyTorch is required. - Candidates should have worked with multi-GPU model training. - Experience using mixed-precision training is also required. How to apply: - Share your profile at hrijit.irudayaraj@careernet.in. Note: Candidates should have 1–3 years of ML experience, at least one real speech/audio project, and must currently be in Bangalore. The post also allows interested candidates to reach out by DM.