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.
About the jobWe are the Gemini App team in DeepMind, building the next-generation AI assistant from Google. Be at the forefront of AI innovation with Gemini, featuring native multimodality, an expansive context window (up to 2 million tokens), and performance. Our mission is to empower billions of people by providing deeply personalised and helpful products. In this role, you will be a part of a team building a personal AI assistant that is tailored to the unique interests, passions, and curiosities of individuals.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .