Hiring: Staff Research Engineer, Applied AI, DeepMind Company: Google DeepMind Location: Mountain View, CA Job Posted Time: 2026-09-16 11:02:08 Target Skills & Keywords : AI, Deep Learning, Embedded Systems, Fine-tuning, LLM, Machine Learning, NLP, Systems Design, Transformers About the job 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. Required Skills: •Learn more about benefits at Google . •Partner closely with multiple external parties and internal cross-functional teams to navigate ambiguity, deeply understand real-world issues, and define clear product objectives and technical designs. •Strategically drive curation of specialized datasets, design evaluations across industry verticals, 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 to build sophisticated agents and workflows powered by DeepMind foundation models. •Synthesize and upstream learnings from third-party partners to our core research teams, by sharing real-world evaluations, edge cases, and deployment signals, which can inform the development of future frontier models. •Act as a technical leader in the applied AI space, setting best practices for generative AI deployment and demonstrating the peak capabilities of frontier models in solving high-impact problems end-to-end. Qualifications: •Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. •Proven experience architecting, prototyping, and shipping complex ML systems from the ground up, with a deep understanding of machine learning and deep learning (e.g., Transformers, Diffusion, LLMs). •Good communication skills with a proven ability to engage with cross-functional teams, and take ambiguous, open-ended real-world problems and translate them into clear technical designs and product scope. •At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. •We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. •Individual pay is determined by factors including job-related skills, experience, and relevant education or training. •US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Compensation: •US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!