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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, 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 23, 2026
- **Apply:** https://dejobs.org/x/x/B3965EF11C2E4E74A137CBD91DF2167C/job/

## 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.