Research Engineer, Gemini Personalization Research, DeepMind

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

Job summary

Google LLC's DeepMind unit seeks a Research Engineer for Gemini Personalization Research in Mountain View, California. The role blends research depth with scalable engineering, building experiments and evaluation frameworks to advance personalized AI systems.

Responsibilities include post-training techniques, tool-use orchestration, and state management for production-grade agents. Requires a bachelor’s degree and 5 years of relevant experience.

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) 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 frameworks design

Research collaboration

Education

Bachelor’s degree or equivalent practical experience

Job description

Research Engineer, Gemini Personalization Research, DeepMind

Share Research Engineer, Gemini Personalization Research, DeepMind

corporate_fare DeepMind place Mountain View, CA, USA

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

Preferred qualifications:

• 1 year of agentic memory research experience.
• Experience training and fine-tuning models in environments with accelerators, with a track record of deploying production-grade AI agents that manage tool-use (function calling) and complex state management.

About the job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. 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.

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.