Research Scientist

1 week ago


Mumbai, Maharashtra, India Josh Talks Full time ₹ 9,00,000 - ₹ 12,00,000 per year

About Josh Talks (AI Division)

Josh Talks' AI arm builds and licenses large-scale Indian speech datasets in over 12 languages. Our datasets are used by global AI labs and enterprises to train, evaluate, and localize models for Indian users. We're now expanding into evaluations, multimodal benchmarking, and fine-tuning foundational models grounded in India's linguistic and cultural diversity.

Role Summary

You will serve as the research backbone of our conversational speech initiatives - ensuring that the data we create is research-grade, aligned to ASR/LLM needs, and fine-tuned for impact. This includes working with our internal data teams, product leads, and partner labs to define what to build next and validate what we deliver.

Key Responsibilities

Design and validate data collection protocols for Indian conversational speech (phone calls, debates, dialogues)

Define evaluation benchmarks (e.g., WER, CER, emotion/filler metrics, lip sync alignment)

Perform regular spot-checks of ASR output and transcripts for quality assurance

Train lightweight ASR/embedding models on in-house data for internal experiments

Collaborate on multilingual and multi-modal expansions (e.g., video+audio evals)

Stay updated on speech model trends (e.g., Whisper, SeamlessM4T, Gemini 1.5 Pro) and suggest roadmap pivots

Write whitepapers, benchmark results, and internal documentation

Qualifications

Master's or PhD in CS, Computational Linguistics, AI/ML, or a related field

Experience working with ASR models (Whisper, Wav2Vec, Conformer, etc.)

Proficient in Python, PyTorch/TensorFlow, HuggingFace or ESPnet/NeMo

Comfortable with audio processing tools (FFmpeg, Librosa, etc.)

Familiarity with Indian language scripts and challenges in low-resource speech

Nice to Have

Experience with fine-tuning or benchmarking Whisper, MMS, or SeamlessM4T

Experience working with speech datasets (Common Voice, MLS, OpenSLR, internal corpora)

Multilingual fluency in any Indian language beyond English/Hindi

Publication or contribution to an open-source speech project


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