Data Scientist (Speech) | BLR

What You’ll Do

• Dive into model architectures (ASR / TTS / SLMs) and optimize them for specific GPUs and hardware profiles

• Build, debug, and tune kernels using CUDA / Tinygrad / AMD toolchains

• Convert, optimize, and benchmark models using TensorRT, ONNX, and other inference engines

• Work hands-on with PyTorch to train, fine-tune, and evaluate real-time speech models

• Run large-scale experiments, manage datasets, and analyze model performance at scale

• Productionize models for ultra-low latency speech workloads

• Collaborate with research, infra, and product teams to push models into production

Requirements

• Strong experience with CUDA, Tinygrad, AMD GPU toolkit, or similar low-level GPU programming stacks

• Hands-on proficiency with PyTorch and Python

• Deep understanding of neural networks, training dynamics, and optimization

• Experience handling and processing large datasets

• Familiarity with production inference pipelines

• Strong problem-solving skills with ability to go deep into performance bottlenecks

Great to Have

• Experience training speech models (ASR, TTS, SSL, etc.)

• Familiarity with audio encoders, decoders, waveform models

• Experience with MLOps, experiment tracking, deployment pipelines

• Training or fine-tuning models for production / published papers

• Experience with TensorRT and ONNX Runtime