Research Engineer, Gemini Information Retrieval

Highlights

• Explore Gemini, Search, factuality, continual learning and deep research.
• Create new ways to measure ideal model behavior beyond leaderboards.
• Scale research innovations into Search, YouTube and other surfaces.

What they offer

• 15% bonus target
• equity
• benefits

Ideal candidate

Research-minded ML builder with deep curiosity for search and factuality who loves prototyping fast, measuring what matters, and partnering with product teams to bring ideas to billions of users.

Requirements

• PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related technical field, or equivalent practical experience
• 5 years of experience in machine learning, with a focus on Large Language Models (LLMs) or Information Retrieval (IR)
• 3 years of experience with software engineering including implementing multi-stage training pipelines or algorithms
• Experience developing Reinforcement Learning algorithms, automated evaluation systems, or LLM reflection and reasoning frameworks
• Experience rapidly prototyping and iterating on complex systems, generative AI models, or multi-stage pipelines
• Experience collaborating with product engineering teams to deploy machine learning models into large-scale production environments
• Track record of learning new software tools, frameworks, and codebases quickly