Research at the level of training data, pre-training, and training
Research and prototype novel evaluation methods
Work with downstream product and infrastructure teams to build and scale effective tools for responsible deployment
Architect and develop models that improve and have real world impact
Qualifications
Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects
Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects
Have experience developing novel techniques for ML model measurement and mitigation
Be comfortable working cross functionally across both research and product teams
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