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Staff Software Engineer, Machine Learning, GeminiApp Personalization, DeepMind
Posted 2 weeks ago
Job Description
- Design, prototype, and build features on the full Gemini App stack that securely capture, organize, and intuitively surface long-term personal context.
- Perform relevant data analysis of user feedback, logs, and evaluation tasks to identify opportunities for improving how effectively the assistant retains and synthesizes historical user interactions.
- Develop evaluation techniques (both automated and human-in-the-loop) to assess and hill-climb on the safety and quality of contextual recall and the assistant's ability to act as a seamless cognitive extension.
- Act as the primary owner and critical judge of model output safety and quality, ensuring responses accurately reflect, synthesize, and build upon the user's unique history and ongoing preferences.
- Contribute to the development of a data flywheel that safely accumulates and leverages continuous user context, driving ongoing improvement and innovation.