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 a Software Engineer on the Actor Safety team, you will contribute to the full-lifecycle development of the teams moderation and verification platform.
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 thrive in today’s digital world.
Responsibilities
- Design and build robust backend services and evolve our verification platform into a centralized orchestration engine, managing complex state transitions and integrating with various identity and verification providers.
- Design, build, deploy, and iterate on machine learning models (including LLMs) to detect spam and abuse in Shopping.
- Collaborate closely with product managers, data analysts, operations teams, and other engineering teams to understand requirements, translate them into technical solutions, and deliver impactful results.
- Analyze data to identify patterns of abuse, measure the effectiveness of our systems, and guide future improvements.
- 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.
Qualifications
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.
- 2 years of experience with full stack development, across back-end such as Java, Python, Kotlin, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
- Experience with relational databases and writing SQL queries.
- Experience with software architecture, API design, and distributed systems.
Preferred qualifications:
- Experience with Machine Learning, Generative AI, large language models (LLMs).
- Experience working with server platform, Apps Framework, and Spanner.
- Interest or experience in Trust and Safety, fraud prevention, or identity verification.
- Familiarity with frontend development using server platform Web or similar TypeScript-based frameworks.
- Demonstrated ability to perform data analysis to drive engineering and product decisions.