Senior Research Engineer, Agentic Data and Tooling, DeepMind

Job description

Build agentic data infrastructure at high velocity: Own and deliver key components across the agentic data stack. Rapidly prototype, iterate, and ship robust production code to generate, capture, and curate complex multi-turn agent trajectories at scale. Bridge research and engineering to drive model hillclimbing: Collaborate closely with Gemini research teams to close the loop between data creation and model quality. Understand how multi-turn trajectory design, environment complexity, and reward signals impact SFT, RL training, and capability hillclimbing. Directly integrate curated data into training pipelines and evaluate downstream model performance on frontier benchmarks. Build quality tooling and support gold-standard benchmarks: Create human-in-the-loop annotation tooling and interactive trajectory review surfaces, working in tandem with automated validation checkers leveraging adversarial LLM judges and programmatic verifiers. Support the creation and curation of gold-standard evaluation sets for flagship benchmarks. Minimum Qualifications: Bachelor's degree in Computer Science, Information Technology, a related technical field, or equivalent practical experience. 5 years of experience working with large language models (LLMs). 2 years of experience developing and training machine learning models. Experience with Agentic integrations and Model Context Protocol. Preferred Qualifications: Master's degree or PhD in Electrical Engineering, Computer Science, or equivalent practical experience. 2 years of experience with full-stack development. Excellent analytical, problem-solving and communication skills with demonstrated attention to detail. A deep passion for AI technology and all of its possibilities .