The Research Engineer position at DeepMind focuses on Gemini Information Retrieval, where the engineer will work on large-scale tests and deploy innovative ideas in artificial intelligence and machine learning. The role involves collaborating with product teams to scale research into production environments and contributing to the wider research community. Candidates will engage in real-world problems, including natural language processing and model evaluation. This position is ideal for those passionate about advancing AI development and solving complex global challenges.

• PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience.
• 5 years of experience in machine learning, focusing on Large Language Models (LLMs) or Information Retrieval (IR).
• 3 years of experience with software engineering in one or more programming languages or frameworks such as Python, C++, JAX, or PyTorch.

• Uncover opportunities in the intersection of Gemini, Search, factuality, continual learning, and deep research.
• Analyze models and model-driven products to create new ways to measure ideal behavior.
• Create practical interventions to improve models across all downstream surfaces.
• Collaborate with product teams to scale research into production environments.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.