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# Research Engineer, Machine Learning, GeminiApp Personalization, DeepMind

- **Company:** Google LLC
- **Location:** Mountain View, CA, United States
- **Salary:** $174,000.0 - $252,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Bioinformatics, C++ (Programming Language), Python (Programming Language), Machine Learning, Natural Language Processing, Software Architecture, Recommender Systems, Tensorflow, Software Engineering, Large Language Models, Deep Learning, Generative AI, Information Technology, Google Gemini, DeepMind, Programming Languages
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3467493079&tx=KK7373FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree or equivalent practical experience.
 * 5 years of experience with software development in one or more programming languages.
 * 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
 * 3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), recommender systems, deep learning, or personalization.
 * 3 years of experience with software development in either of these programming languages: Python or C++., * Master's degree or PhD in Computer Science or related technical field.
 * 1 year of experience in a technical leadership role.
 * Experience developing accessible technologies.
 * Experience in Natural Language Processing (NLP), Large Language Models (LLMs) and Generative AI.

## Description

* Design, prototype, and build robust, scalable, user-facing personalization features on the full Gemini App stack.
 * Perform relevant data analysis of user feedback, logs, and evaluation tasks to identify personalization-related quality issues and opportunities.
 * Propose and implement targeted quality improvements via fine-tuning or prompting.
 * Develop robust evaluation techniques (both automated and with a human in the loop) to assess and hill-climb on personalization quality.
 * Partner closely with research scientists, engineers, and cross-functional partners (product and program managers) to advance the business goals of the organization.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

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