Senior Software Engineer, Commerce Actor Safety & ML

Google Inc.; Zürich; Vor Ort; CHF 120.000 - 190.000; Vollzeit

Zusammenfassung

Google Inc. in Zürich, Switzerland, seeks software engineers to advance end-to-end ML models and abuse-detection systems for commerce safety. You will work on scalable back-end services and ML pipelines, collaborating with PMs and engineering leads to improve model performance and system reliability.

The role emphasizes experimentation with Gemini LLMs, NLP architectures, and data processing while ensuring production-grade quality and security across the platform.

Qualifikationen

• 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 ML infrastructure or large-scale data systems.
• Experience with relational databases and writing SQL queries.

Aufgaben

• Contribute to and execute the actor safety strategy in collaboration with the PM and Eng leads by blending abuse prevention frameworks with targeted protections.
• 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.
• Design and build high-throughput, resilient back-end services with production hygiene.

Kenntnisse

Python

SQL

ML development

Large-scale data systems

Ausbildung

Bachelor's degree

Master's degree

Tools

Relational databases

Jobbeschreibung

Google Inc. in Zürich, Switzerland, seeks software engineers to advance end-to-end ML models and abuse-detection systems for commerce safety. You will work on scalable back-end services and ML pipelines, collaborating with PMs and engineering leads to improve model performance and system reliability.

The role emphasizes experimentation with Gemini LLMs, NLP architectures, and data processing while ensuring production-grade quality and security across the platform.