Research Engineer, Machine Learning, GeminiApp Personalization, DeepMind

Design and build robust, scalable personalization features across the Gemini App, using user feedback, logs, and evaluation data to identify and address quality issues. Improve personalization through fine-tuning or prompting, develop automated and human-in-the-loop evaluations, and collaborate with research, engineering, product, and program teams.

Requirements: Requires a bachelor’s degree or equivalent practical experience, at least five years of software development experience, and experience in software testing or product launches, design and architecture, and machine learning or personalization. Requires three years of Python or C++ development; a master’s degree or PhD, technical leadership, accessibility experience, and NLP, LLM, or generative AI experience are preferred.

Key

Skills:

Software Development, Machine Learning, Personalization, Recommender Systems, Deep Learning, Python, C++, Tensor Flow, Software Design, Software Architecture, Data Analysis, Large Language Models, Generative AI, Natural Language Processing, Evaluation Techniques, Prompting

Benefits: Equity, Benefits