ML Engineer & Research Scientist, Speech (Full time)
Location: San Francisco/Gurgaon · Type: Full-time

About Voice ArenaVoice Arena builds frontier evals, models and datasets for voice AI. Our mission is to make machines talk like humans, and to measure honestly how close they are.
We run public leaderboards for speech to text, text to speech, speech to speech and speaker diarization, with many more yet to come. Labs, voice platforms and enterprises use them to see how speech models perform on real speech, in real conditions and across languages, rather than on clean read audio.
Behind the boards is a research and engineering team that builds its own datasets, trains the models that keep its evaluations accurate and publishes its methods. What sets us apart:
• Research that gets published. Three papers at Interspeech 2026, where Voice Arena is also the Diamond Sponsor. Our methods go through peer review, not just a blog post.
• Partners across the field. We brought Hindi and Indian English to Hugging Face's Open ASR Leaderboard, and we partner with NVIDIA.



Model providers send us new models for public and private evaluation.
• Data nobody else has. Monsoon, our dataset initiative for the Global South, is working towards 1,000 languages by 2027. Our accented English corpus covers 8 accents and 6,000 hours. This data gives us held-out test sets that models have not seen in training.
• A research community. Voice Research Club runs paper-first sessions for voice AI researchers, starting in San Francisco and New York, with more cities to follow.

About the roleOur mission is to make machines talk like humans. Before that is an engineering problem, it is a research problem: someone has to define what talking like a human actually means, measure how far today's models are from it, and show what closes the gap.
We're hiring an ML Engineer & Research Scientist to own that problem end to end. This role blends fundamental research and hands-on engineering, and we don't separ

📌 ML Engineer (Gurugram)
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