Research Engineer, Machine Learning, GeminiApp Personalization, DeepMind

• 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:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 5 years of experience programming in Python or C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 2 years of experience with Machine Learning, Large Language Models (LLMs), or applied AI.
• 2 years of work or educational experience in machine learning and deep learning.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 5 years of experience programming in Python or C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 2 years of experience with Machine Learning, Large Language Models (LLMs), or applied AI.
• 2 years of work or educational experience in machine learning and deep learning.