Lead ML Scientist – Speech

Job not on LinkedIn

🕒 June 24

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

✨ Scientist

👻 Ghost score 37%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Agara

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2 - 10 employees

Founded 2026

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💳 Fintech

Crypto • Web 3 • Fintech

Agara is a Web3 prediction-market platform that lets users trade binary markets on real-world events—politics, economics, climate, stocks and more. It offers a real order book implemented on-chain, custody through users' own wallets (self-custodial), open resolution rules, and fast, low-fee settlement built on the Base blockchain. Agara positions itself as not a betting house but an on-chain marketplace where prices are set by user orders and outcomes are settled transparently.

📋 Description

• Design, build and train robust deep learning speech systems that power Agara’s real-time conversations across languages, accents, noise environments, and voice interfaces. • Work closely with a team of machine learning scientists and engineers to train and produce speech models. • Conduct applied research and experimentation as an integral part of your role.

🎯 Requirements

• B.Tech, M.Tech or Ph.D. in Computer Science or equivalent work experience • Relevant work experience of 6+ years • Comfortable with at least one deep learning framework (PyTorch / Tensorflow) • Previous extensive experience building real-world speech systems such as speech recognition, text to speech, speaker diarization • Excellent programming skills in Python • Bonus if you have Publications in top-tier journals/conferences such as ICASSP, NeurIPS, PAMI, InterSpeech. • Previous experience building voice conversational AI systems • Experience working with textual NLP systems

🏖️ Benefits

• Best in industry compensation • Great work culture • Flexibility • Transparency

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