Research Engineer, Machine Learning, GeminiApp Personalization, DeepMind

Responsibilities

• Design, prototype, and build robust, scalable, user-facing personalization features on the full Gemini App stack.
• Perform relevant data analysis of user feedback, logs, and evaluation tasks to identify personalization-related quality issues and opportunities.
• Propose and implement targeted quality improvements via fine-tuning or prompting.
• Develop evaluation techniques (both automated and with a human in the loop) to assess a hill-climb on personalization quality.
• Contribute to the development of a data flywheel, driving continuous improvement and innovation.
• - Design, prototype, and build robust, scalable, user-facing personalization features on the full Gemini App stack. - Perform relevant data analysis of user feedback, logs, and evaluation tasks to identify personalization-related quality issues and opportunities. - Propose and implement targeted quality improvements via fine-tuning or prompting. - Develop evaluation techniques (both automated and with a human in the loop) to assess a hill-climb on personalization quality. - Contribute to the development of a data flywheel, driving continuous improvement and innovation.

Minimum qualifications:

Preferred qualifications: