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Google DeepMind · 1 day ago

Research Engineer - GeminiApp Personalization

Mountain View, California, US

Full-time

Onsite

Mid, Senior Level

$166K/yr - $244K/yr

Google DeepMind is at the forefront of AI innovation, building the next-generation AI assistant with the Gemini App team. The Research Engineer will focus on developing personalized features for the Gemini App, ensuring a tailored user experience by leveraging state-of-the-art AI models and collaborating with cross-functional teams.

Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning

Growth Opportunities

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

Qualification

PythonMachine LearningDeep LearningTensorFlowC++JAXPyTorchLLM ExperienceData PipelinesCommunication SkillsInterpersonal Skills

Required

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

Preferred

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

Benefits

Bonus

Equity

Benefits

Company

Google DeepMind

Glassdoor4.5

Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.

Founded in 2010