Senior ML/AI Software Engineer, Chrome AI

Google•Mountain View, CA

15h

About The Position

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As an AI/Machine Learning Software Engineer in the team, you will play a key role in improving Chrome's agentic capabilities' quality and building Gemini in Chrome features. Additionally, you will be responsible for writing test plans and automated tests, root-causing and fixing bugs, and deploying experiments. Chrome is dedicated to building a better, more open web. We’re focused on making a better browser (on both desktop and mobile) to help users take advantage of all the web has to offer in a safe and secure way.Chrome is available across all major platforms — iOS, Android, Windows, Mac, Linux and Chrome OS. We also built Chrome as an open source project so the entire web ecosystem could benefit from the latest innovations in speed, simplicity and security.

Requirements

Bachelor’s degree or equivalent practical experience.
5 years of experience programming in C++ or Python.
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 ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Nice To Haves

Master's degree or PhD in Computer Science, or a related technical field.
5 years of experience with data structures and algorithms.
1 year of experience in a technical leadership role.
Experience with feature engineering and analyzing data for building ML modes.
Experience using ML tools to improve the product.

Responsibilities

Build, tune, and improve ML models for vertical integrations.
Employ a wide variety of approaches to improve the model such as prompt engineering, agent orchestration and post-training.
Contribute to creating testing evaluation datasets and autoraters to help us hill-climb and push the frontiers of what Gemini can do in Chrome.
Run live experiments, deploying models in production, and using experimental results to improve model performance.
Collaborate with product managers, User Experience (UX) designers, and other engineers to turn requirements into technical solutions.