Senior Staff Software Engineer, Generative AI, Search Intelligence

Google•Mountain View, CA

4d•$262,000 - $364,000

About The Position

Google software engineers develop technologies used by billions of people to connect, explore, and interact with information. They work on projects critical to Google's needs and design, develop, test, deploy, maintain, and enhance software solutions while managing project priorities, deadlines, and deliverables. This role is on the User-AI Flywheel team in Search Intelligence, which builds AI-driven tools for automatic self-improvement, feedback-driven model training, and automated evaluations of Google Search features and its ecosystem, including AI Mode and AI Overviews. The engineer will lead technical contributions to products with impact on billions of users, working at the intersection of large-scale systems and AI. The role calls for a creative problem solver focused on innovation and willing to take calculated risks. The team applies research and models such as Gemini to deliver high-impact Search products. The role includes advancing LLM technologies and working with Google Research and DeepMind to integrate them into products.

Requirements

Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure, such as model deployment, model evaluation, data processing, debugging, and fine-tuning.
5 years of experience with design and architecture, and testing and launching software products.
2 years of experience with state-of-the-art GenAI techniques, such as LLMs, multimodal systems, or Large Vision Models, or with GenAI-related concepts such as language modeling or computer vision.

Nice To Haves

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
5 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.

Responsibilities

Advocate the development of modeling, tuning, and optimization techniques to support large language model (LLM) performance, quality, and capabilities.
Guide the design and implementation of user-signal-driven improvements of LLMs to address known loss patterns and response quality behaviors.
Partner with experts from Google Research and DeepMind to advance LLM technologies and integrate them into products.
Demonstrate teamwork and share expertise in system design, machine learning modeling, and coding practices tailored to the LLM domain.
Cultivate relationships with stakeholders across the organization to collaboratively define and execute LLM initiatives.
Manage project priorities, deadlines, and deliverables; design, develop, test, deploy, maintain, and enhance software solutions.