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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Research Engineer, Applied AI, DeepMind - **Company:** Google LLC - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $207,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Bioinformatics, Computer Engineering, Data Structures, Machine Learning, Software Engineering, Evaluation Pipelines, Large Language Models, Generative AI, Information Technology, Machine Learning Operations, Stable Diffusion, DeepMind - **Published:** November 5, 2026 - **Apply:** https://www.careerbuilder.com/job-details/staff-research-engineer-applied-ai-deepmind-mountain-view-ca--7960b736-7c20-4b38-890a-c31c52ba352a ## About the Role Artificial Intelligence (AI), Computer Engineering, Computer Science, Electrical Engineering, Software Development, Data Structures, Algorithms, Machine Learning, Production Systems, Training Data Sets, * Bachelors 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, 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. ## Description We are seeking a Staff Research Engineer, Applied AI to lead the development and deployment of novel applications, leveraging Google's generative AI models. In this role, you will rapidly develop new features, and work across partner teams to deliver solutions, and maximize impact for Google and top customers. You will be instrumental in translating AI research into real-world products, and demonstrating the capabilities of latest-generation models. You will build and ship AI-powered software, ideally with experience in early-stage environments where you have contributed to scaling products from initial concept to production. You will be motivated by the opportunity to drive product and business impact.Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. 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 Learn more about benefits at Google. Responsibilities * 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. * Drive the 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. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.