Partner closely with multiple external parties and internal cross-functional teams to navigate ambiguity, deeply understand real-world issues, and define clear product objectives and technical designs.
Drive the curation of specialized datasets, design evaluations across industry verticals, and execute model fine-tuning to achieve optimal real-world performance.
Lead the engineering and development of novel solutions from 0 to 1, utilizing internal platforms and tools to build sophisticated agents and workflows powered by DeepMind foundation models.
Synthesize and upstream learnings from third-party partners to our core research teams, by sharing real-world evaluations, edge cases, and deployment signals, which can inform the development of future frontier models.
Act as a technical leader in the applied AI space, setting best practices for generative AI deployment and demonstrating the peak capabilities of frontier models in solving high-impact problems end-to-end.

Staff Research Engineer, Applied AI, DeepMind

Job Description