Minimum 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 PhD 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 the problems and to keep user journey's in mind.
• Familiarity with Agentic workflows and using Large Language Models (LLMs) to actuate the web.

About the job

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 part of the Chrome Identity and Context organization, our team has invested safely and conveniently bringing the user's data to their web journeys. 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.

The world of Autofill is complex: Address formats vary globally, credit cards and other forms of payment are sensitive parts of shopping journeys, and identity documents need to be handled securely. We help users interact with their data from across the Google ecosystem, including from Google Wallet or GMail.

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.