Drimva

Google

Research Scientist, Gemini Commercial Intelligence, DeepMind

Mountain View, CA, USA · Full-time · Posted Oct 15, 2026

Experience
2 years building and shipping technical products; 2 years leading a research agenda. Preferred: 3 years of research experience and 2 years leading research efforts and influencing other researchers.
Education
Bachelor’s degree or equivalent practical experience.

About the job

Drives research on Gemini models and self-improving agents, from experimentation and prototyping through production, to improve commercial user journeys and GenAI experiences.

What you'll do

  • Develop and test research ideas, curate benchmarks, and design experiments for LLMs, multimodal systems, recommendation, personalization, and ML efficiency.
  • Define research data structures, frameworks, designs, evaluation metrics, timelines, and resource needs; advance solutions toward production.
  • Identify research opportunities, collaborate with internal and external partners, and contribute to long-term research strategy.

What they ask for

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience building and shipping technical products.
  • 2 years of experience leading a research agenda.
  • Experience in generative AI and Large Language Models (LLM).

Nice to have

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field; 3 years of research experience.
  • 2 years leading research efforts and influencing researchers; scientific publication submission(s).

Pay

$207000 - $300000 (USD) base salary

Tools

Gemini, LLMs, multimodal generation/understanding, Reinforcement Learning, Agents, recommendation systems, ML efficiency

AI focus

Research on generative AI and LLMs, including multimodal understanding and generation, planning and reasoning, reinforcement learning, self-improving agents, and model benchmarking and improvement.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 5, 2026 (UTC)