Personalization AI Research Engineer

Google; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind seeks a Research Engineer for Gemini Personalization Research in Mountain View, CA. You will design evaluation frameworks and run large-scale experiments to advance personalized AI experiences.

Responsibilities include leading post-training techniques (RL, SFT, preference optimization), building evaluation tools, and training agents to orchestrate tools and APIs for hyper-personalized user interactions.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience designing, constructing, and deploying evaluation frameworks.

Responsibilities

• Drive research on post-training techniques (e.g., RL, SFT, and preference optimization) for personalization scenarios.
• Develop novel evaluation frameworks to measure model quality against user behaviors/feedback.
• Design and train agents capable of orchestrating tools and APIs to deliver hyper-personalized experiences.

Skills

Evaluation frameworks

AI/ML modeling

Experimentation

Education

Bachelor’s degree

Job description

Google DeepMind seeks a Research Engineer for Gemini Personalization Research in Mountain View, CA. You will design evaluation frameworks and run large-scale experiments to advance personalized AI experiences.

Responsibilities include leading post-training techniques (RL, SFT, preference optimization), building evaluation tools, and training agents to orchestrate tools and APIs for hyper-personalized user interactions.