Software Engineer III, Commerce Actor Safety, Intelligence

Google LLC; Zürich; Vor Ort; CHF 140.000 - 210.000; Vollzeit

Zusammenfassung

Google LLC in Zürich, Switzerland is hiring a Software Engineer to contribute to actor safety and ML model development at scale. You will design, train, deploy ML models including Gemini LLMs, build data pipelines, and craft high-throughput back-end services as part of our abuse detection stack.

Working with cross-functional teams, you will iterate on AI models, integrate with production systems, and help ensure a safe, trusted Google Commerce experience for billions of users worldwide.

Qualifikationen

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in Python or related languages.
• 2 years of experience in ML development or large-scale data systems.
• Experience with relational databases and SQL queries.
• Willingness for in-person interviews.

Aufgaben

• Contribute to and execute safety strategy with PM and Eng leads, analyzing abuse patterns and model metrics.
• Design, train, deploy, and iterate on ML models including Gemini LLMs and NLP architectures for detection.
• Design and build high-throughput back-end services and the intelligence platform.

Kenntnisse

Python

ML development

SQL

Relational databases

Ausbildung

Bachelor's degree or equivalent

Master's degree or PhD (preferred)

Tools

Spanner

LLMs

GNNs

NLP architectures

Jobbeschreibung

info_outline X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages Python etc, or 1 year of experience with an advanced degree.
• 2 years of experience in machine learning development and Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, data processing, debugging, or fine tuning) or large-scale data systems.
• Experience with relational databases and writing SQL queries.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience working with distributed infrastructure, storage, or application frameworks (such as Spanner or server platform).
• Experience or interest in Large Language Models (LLMs), Gemini, prompt engineering, fine-tuning, or graph neural networks/graph mining.

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.

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.

The Commerce Safety team ensures a safe and trustworthy Google Commerce experience. We're on the front lines, protecting users and merchants by maintaining content and merchant integrity and compliance.

As a Software Engineer on the Actor Safety team, you will own and execute end-to-end components across the full-lifecycle development of our abuse intelligence stack including our detection models, agents and moderation platforms.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

• Contribute to and execute the actor safety strategy in collaboration with the PM and Eng leads by blending abuse prevention frameworks with targeted, tactical protections. Analyze complex abuse patterns and system precision/recall metrics to drive continuous improvements across our AI models (mScore, potential damage, identity change), detection systems, and operational workflows in close collaboration with partner Trust and Safety teams.
• Design, train, deploy, and iterate on ML models including Gemini LLMs, GNNs, and NLP architectures to detect spam, fraudulent actors, and abusive behaviour across shopping products. Build data pipelines for training data curation, establishing active learning workflows, synthetic datasets, and robust frameworks (LLM-as-a-judge) for model evaluation, monitoring, and performance tracking.
• Design and build high-throughput, resilient back-end services with production hygiene. Build our intelligence platform, managing models and seamlessly integrating with the actor lifecycle.

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/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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.