The Staff Research Engineer, Applied AI at DeepMind focuses on developing and deploying innovative applications using Google's generative AI models. This role involves rapid feature development and collaboration with various teams to maximize impact for Google and its customers. The engineer will translate AI research into practical products, contributing to the advancement of AI technologies. The position emphasizes a strong connection to research while addressing real-world challenges through sophisticated AI solutions.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 8 years of software development experience, including system design, data structures, and algorithms.
• 5 years of experience building, training, and deploying machine learning models into production environments.
• Experience working with Generative AI/LLMs, specifically in model fine-tuning, custom dataset curation, and designing evaluation pipelines.
• Proven experience architecting, prototyping, and shipping complex ML systems from the ground up.

• Partner closely with multiple external parties and internal cross-functional teams to navigate ambiguity and define clear product objectives.
• Drive the curation of specialized datasets and execute model fine-tuning to achieve optimal real-world performance.
• Lead the engineering and development of novel solutions from 0 to 1, utilizing internal platforms and tools.
• Synthesize and upstream learnings from third-party partners to core research teams.
• Act as a technical leader in the applied AI space, setting best practices for generative AI deployment.

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