Personalization AI Research Engineer

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

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google DeepMind is hiring a Research Engineer for Gemini Personalization Research in Mountain View, CA. The role focuses on advancing personalized AI systems and building scalable evaluation methods.

You will work on large-scale experiments and contribute to cutting-edge research across AI domains. Ideal candidates have a Bachelor's degree (or equivalent) and at least 5 years designing evaluation frameworks for performance metrics, plus experience deploying AI agents that manage tools and state

Qualifications

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

Responsibilities

• Drive research on post-training techniques (e.g., RL, SFT, and preference optimization) specifically tailored 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 framework design

Production-grade AI deployment

Tool-use orchestration

Education

Bachelor’s degree or equivalent practical experience

Job description

Google DeepMind is hiring a Research Engineer for Gemini Personalization Research in Mountain View, CA. The role focuses on advancing personalized AI systems and building scalable evaluation methods.

You will work on large-scale experiments and contribute to cutting-edge research across AI domains. Ideal candidates have a Bachelor's degree (or equivalent) and at least 5 years designing evaluation frameworks for performance metrics, plus experience deploying AI agents that manage tools and state