Software Engineer III, AI/ML, Chrome Autofill

• Software Engineer III, AI/ML, Chrome Autofill
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Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 1 year of experience with one or more of the following: Speech/audio (e. g., technology duplicating and responding to the human voice), reinforcement learning (e. g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 1 year of experience with ML infrastructure (e. g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience programming in Python.
• Preferred qualifications
• Master's degree or Ph D in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience testing, maintaining, or launching distributed software and developing in a cloud environment.
• Ability to learn new technologies in Chrome.
• Ability to be aware of problems and to keep user journeys in mind.
• Familiarity with Agentic workflows and using Large Language Models (LLMs) to actuate the web.

About the job

Google’s software engineers develop technologies that help billions of users connect, explore, and interact with information.

We help users interact with their data from across the Google ecosystem, including from Google Wallet or Gmail.

Users love

Autofill: When presented with the choice between typing an address and autofilling it, two-thirds of Android users chose the latter.

By autofilling an address, users save over half of their time interacting with the form and they even submit more forms.

Responsibilities

• Develop and launch models and infrastructure focused on enabling AI experiences in Chrome.
• Participate in design and code reviews for teammates and other Google/Chrome teams.
• Collaborate with product managers and other engineers to turn requirements into technical solutions, deploy experiments, define datasets, perform evals and analyze results.
• Work independently on assigned tasks and turn high-level objectives into concrete engineering plans.
• Implement models within a system that agentically drives web sites with high quality.

EEO Statement

Google is proud to be an equal opportunity and affirmative action employer.

We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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