Salary
≈ $22k – $84k per year (Estimated)
Location
In office (Bengaluru)
Overview
Company
Impact
Profile match
Cartesia is an artificial intelligence research and technology company that builds real-time, low-latency generative voice models for interactive applications. Founded by Stanford researchers, the company utilizes State Space Models (SSMs) to power its flagship text-to-speech platform, Sonic, which enables sub-second voice synthesis, instant voice cloning, and emotional expression across dozens of languages. By providing real-time speech generation and voice agent infrastructure, Cartesia allows developers and enterprises to power conversational AI systems, virtual assistants, and customer service platforms.
We are searching for a research engineer to own the quality and coverage of the data behind our models. You will be our in-house expert on global data, ensuring our models perform exceptionally well across dozens of languages. You have a keen eye for linguistic nuance and a passion for building inclusive and representative datasets at scale.
Responsibilities:
- Design and build large-scale datasets for model training and run controlled modelling experiments to measure their impact on model performance and behaviour.
- Build evaluations of speech models, both via manual annotation and at scale with automated metrics.
- Implement techniques for steering data generation to improve model intelligence through data and mitigate bias.
- Build automated quality control systems to validate and filter generated data.
- Partner with product teams to ensure support for key languages and markets.
Requirements:
- Experience building or working with large multilingual datasets.
- Experience with generative models (speech, text, or multimodal).
- Ability to help guide human annotation and evaluation across multiple languages.
- Strong applied ML background with a focus on data-centric approaches.
- Excitement for building scalable systems that bridge research and production.
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