ML Research Engineer, Speech
BengaluruFull-time1–3 yrsPosted over a month ago
Junior AI role at Blue Machines AI in Bengaluru. Needs 1–3 years and a B.Tech, B.E. or M.Tech.
About the role
You will build speech models from the ground up: implement architectures from scratch, pre-train them on large audio corpora, then adapt and ship them. You'll own well-scoped experiments from data to deployed checkpoint, with guidance from senior researchers.
What you'll do
- Train TTS models from scratch (flow-matching, diffusion, neural codec LMs, vocoders) and extend them to new voices, languages and speaking styles
- Build speech-to-speech components from scratch: audio tokenizers and codecs, speech encoders connected to LLMs, streaming decoders
- Turn papers and new ideas into working PyTorch code: write the model, tokenizer and training loop yourself, and train from random initialisation
- Build data pipelines: cleaning, segmentation, forced alignment, pseudo-labelling, augmentation (noise, codecs, 8 kHz telephony simulation)
- Maintain evaluation suites: WER/CER, entity error rate, code-switch accuracy, MOS and speaker similarity, latency (time to first token / byte)
What you need
- Machine learning
- Research
- Python
- PyTorch
- MLOps
- LLMs
Good to have
- ETL