Software Engineer III, Commerce Actor Safety, Intelligence

• 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.

Minimum qualifications:

• 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.

• 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.