Senior Research Engineer - GeminiApp Personalization, Mountain View

About the Role

Key Responsibilities

• 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.
• Act as primary owner and critical judge of model output quality for specific personalization features.
• Contribute to the development of a robust data flywheel, driving continuous improvement and innovation.
• Partner closely with research scientists, engineers and cross-functional partners (product and program managers) to advance the business goals of the organization.

Requirements

• BSc, MSc or PhD/DPhil degree in computer science or other quantitative scientific field, or similar experience working in industry.
• Solid proficiency in Python or C++.
• Deep understanding of machine learning and statistics.
• Experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks.
• Experience with deployment in production environments.
• Experience working with LLM or ML evaluations systems.
• Solid understanding of Deep Learning fundamentals, including transformer architectures, attention mechanisms, and optimization techniques.
• Experience adapting LLMs (e.g., supervised fine-tuning, RLHF, prompt optimization).
• Experience with data pipelines and techniques for processing large-scale user data.
• Excellent communication skills and interpersonal skills.

Nice to Have

• Experience in empirically-driven research and development.
• Experience working on personalization for machine learning models.
• Cross functional collaboration experience.
• Prior experience collaborating with engineers, researchers, and product teams.
• Experience with user modeling techniques tailored for personalization.
• Experience building and shipping features for large-scale, user-facing products.
• Research background in NLP / Generative AI.

Qualifications

• Educational background including BSc, MSc, or PhD/DPhil in relevant fields.

Benefits & Perks

• The US base salary range for this full-time position is between $166,000 - $244,000 plus bonus, equity, and benefits.