Research Engineer

• Find where models fall short and set targets for improvement
• Design evaluations showing whether a model is better and why
• Curate and generate data and fine-tune models
• Build working systems quickly and ship them to production
• Turn vague customer problems into clear metrics
• Use fine-tuning, new data, and external models to solve customer problems
• Own customer problems until they measurably improve in production
• Determine when results are ready for customers
• Expand models to new languages and regions
• Improve text-to-speech pronunciation of names, terms, and numbers
• Isolate speakers' voices from background noise and crosstalk
• Give customers early access to new voice capabilities and use feedback to guide research methodology
• Release new benchmarks for Voice AI use cases

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