Research Engineer, Gemini Personalization Research
Google DeepMind · Mountain View, CA, USA
Frontier labonsite$174k–$252k
At a glance
Highlights
- Advance Gemini personalization to create hyper-personalized user experiences.
- Shape large-scale experiments deployed broadly across Google products.
- Stay connected to research roots by publishing and partnering with universities.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
A research-driven engineer passionate about personalization and human-centered AI who thrives on large-scale experimentation and bridging academic research with real-world products for billions.
Requirements
- Bachelor's degree or equivalent practical experience
- 5 years of experience designing, constructing, and deploying evaluation frameworks that capture programmatic or algorithmic performance
- 1 year of agentic memory research experience
- Experience training and fine-tuning models in environments with accelerators
- Track record of deploying production-grade AI agents that manage tool-use (function calling) and complex state management
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)
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