Responsibilities
- Design and build large-scale datasets for model training, and run controlled modeling experiments to measure their impact on model performance and behavior.
- 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.
Benefits
- Competitive base salary alongside attractive equity package.
- A monthly stipend to help you get to and from the office.
- Take as much time as you need to recharge your batteries.
- Lunch, dinner and plenty of snacks, provided daily.
- Your own personal Yoshi.
Additional Information
- We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
