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# Staff Research Engineer, Applied AI, DeepMind

- **Company:** DEEPMIND MATRIX
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $207,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Engineering, Data Structures, Machine Learning, Software Engineering, Large Language Models, Generative AI, Information Technology, Machine Learning Operations, Stable Diffusion
- **Published:** August 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1cc071f3f42373f7

## About the Role

* 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, 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

* 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.


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