Software Engineer III, AI/Machine Learning

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages such as C++, 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, data processing, debugging).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience developing accessible technologies.
• Experience with SQL, Server Platform, Pod or Spanner.

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 manage information at a 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.

In this role, you will be the backbone of trustworthy shopping journeys by setting clear content expectations for merchants and protecting consumers from harmful and offensive experiences.People shop on Google more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for Google Commerce is to be an essential part of the shopping journey for consumers - from inspiration to to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to grow in today’s digital world.

Responsibilities

• Build, deploy, and iterate on machine learning models (including LLMs) to detect policy violations in Shopping content.
• Develop and deploy scalable pipelines for high-quality training data curation, striving for gold-standard datasets and implementing frameworks for model evaluation and performance tracking.
• Utilize and deploy Leverage Large Language Model (LLMs) including auto-raters and agents, to enhance merchant experience, operational accuracy and efficiency across multitude use cases such as managing escalations, reviewing user reports, merchant appeals, metrics generation and training data quality curation.
• Collaborate with Product Managers, Policy Specialists to identify and implement opportunities to support business growth and consumer protection.
• Contribute to the team's engineering excellence by maintaining and improving the reliability of the production system, participate in teams oncall and contribute to code reviews, documentation, and overall system health.