Research Engineer, Gemini Retrieval, DeepMind

Experteer Overview In this role you will address strategic opportunities at the intersection of Gemini, search, factuality, continual learning, deep research, and domain internalization. You’ll analyze model-driven products beyond current leaderboards to understand complex problem spaces and devise new evaluation methods. You will translate empirical findings into practical interventions and modeling innovations to boost model quality across downstream surfaces. Collaboration with product teams like Search and YouTube will scale research into production, prioritizing quality and efficiency. This role offers the chance to impact real-world AI systems while staying connected to research through partnerships and, Compensation / Benefits * Analyze models and model-driven products to identify improvement opportunities * Develop practical interventions and modeling innovations based on empirical findings * Collaborate with product teams to scale research into production environments * Optimize models and pipelines for quality and efficiency across downstream surfaces Tasks * Bachelor’s degree in CS, Data Science, AI, ML, or related field or equivalent practical experience * 3 years of experience in machine learning with a focus on LLMs or information retrieval * 3 years of experience with software engineering in Python, C++, JAX, or PyTorch, including multi-stage training pipelines Key requirements * bonus target * equity * benefits

_ models and pipelines for quality and efficiency across downstream surfaces Tasks * Bachelor’s degree in CS, Data Science, AI, ML, or related field or equivalent practical experience * 3 years of experience in machine learning with a focus on LLMs or information retrieval * 3 years of experience with software engineering in Python, C++, JAX, or PyTorch, including multi-stage training pipelines Key requirements * bonus target * equity * benefits