Research Engineer, Gemini Retrieval, DeepMind

About the Position

Research Engineer, Gemini Retrieval, DeepMind

Mid • On-site

Mountain View, CA

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About the Job

Research-focused Software Engineers create experiments, prototype implementations, and design new architectures for real-world challenges such as artificial intelligence, data mining, natural language processing, hardware and software performance analysis, compilers for mobile platforms, and core search. The role includes large-scale testing and rapid deployment of promising ideas, while contributing to the wider research community through university partnerships and published papers.

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Responsibilities

• Uncover strategic opportunities at the intersection of Gemini, Search, factuality, continual learning, deep research, and domain internalization.
• Analyze models and model-driven products beyond current leaderboards; understand complex problem spaces and create new ways to measure ideal behavior.
• Use empirical findings to develop practical interventions and modeling innovations that improve models across downstream surfaces.
• Collaborate with product teams such as Search and YouTube to scale research innovations into production environments, optimizing for quality and efficiency.

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Minimum Qualifications

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience.
• 3 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 in Python, C++, JAX, or PyTorch programming, including experience implementing multi-stage training pipelines or algorithms.

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Preferred Qualifications

• Experience developing Reinforcement Learning (RL) algorithms, automated evaluation systems, or LLM reflection and reasoning frameworks.
• Experience with competitive programming, mathematics competitions (e.g., ICPC, IOI, IMO), or a track record of developing novel algorithms.
• 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 or research innovations into large-scale production environments (e.g., Search, Recommendation Systems).
• Track record of learning new software tools, frameworks, and codebases quickly to solve complex technical obstacles.

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We Offer

• Opportunity to work in a cutting-edge research environment at Google DeepMind.
• Collaborative environment with access to top-tier research resources and partnerships.
• Potential for impactful contributions to the field of artificial intelligence and machine learning.

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About the Company

Google LLC started as a PhD project by Larry Page and Sergey Brin in 1998 at Stanford University. Google LLC has blossomed into a behemoth of the tech world. With its mission to organize the world's information and make it universally accessible and useful, Google’s search engine is its crown jewel. Online advertising, via AdWords and AdSense, forms the backbone of its financial success. Beyond search, Google has ventured into cloud computing, hardware, and software development. The innovative PageRank algorithm revolutionized search engine technology, and surviving the dot-com bubble burst and going public in 2004 spurred its meteoric growth. Acquiring YouTube stands as a testament to Google’s strategic expansion.