Software Engineer II, Google Search, Machine Learning

• Design, 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 robust frameworks for model evaluation and performance tracking.
• Leverage Large Language Models (LLMs) including auto-raters/agents to improve merchant experience, operations accuracy and efficiency. Deploy these for a multitude of use cases including handling escalations, reviewing user reports and merchant appeals and metrics generation and training data quality curation.
• Partner with product managers, policy specialists to identify and implement opportunities to support business growth and consumer protection.
• Collaborate with other Engineering teams (Shopping Infra, Compliance, Merchant Tools, Ads Safety) to integrate and support content safety measures.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  
• 1 year of experience with data structures and algorithms.
• 1 year of experience implementing core Machine Learning (ML) concepts.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

• Solid understanding of Google's product development practices and common infrastructure systems.
• Skills in C++, algorithms, data analysis, data processing, and machine learning.
• Culture fit for the team and interest for the expertise area.

• Bachelor’s degree or equivalent practical experience.
  
• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  
• 1 year of experience with data structures and algorithms.
• 1 year of experience implementing core Machine Learning (ML) concepts.
• Experience integrating generative AI tools or LLM interfaces into workflows.