Software Engineer II, Machine Learning, Commerce

Software Engineer II, Machine Learning, CommerceAbout 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.

In this role, you will be responsible for User Interaction Modeling in Commerce, building and deploying Predicted Click-Through Rate (pCTR), click quality, Predicted Conversion Rate (pCVR), and other ranking models for organic shopping results on Google and the shopping property.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Build Machine Learning (ML) models for shopping ranking.

Minimum Qualifications

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience with data structures or algorithms.
• 1 year of experience implementing core ML concepts.

Preferred Qualifications

• Experience in building TensorFlow or JaX models.
• Experience working in search quality or a similar quality stack.
• Experience in debugging and analysis in a similar quality environment.
• Knowledge of common data/pipeline technologies (e.g., TfleX).
• Knowledge of XManager, Servomatic, Search logs, Woodshed, O5, Mendel/Rasta.
• Understanding of the interactions models with the rest of the quality stack.

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.

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.

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