Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  
• 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
  
• 1 year of experience applying statistical and visualization techniques to identify patterns, anomalies, and relationships in data.
• 1 year of experience in the design, analysis, and optimization of algorithms for systems, as well as developing and implementing machine learning algorithms (e.g., classification, regression, clustering, deep learning) for applications.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
  
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience with Large Language Models (LLMs), Generative AI, and Agentic AI frameworks.
• Experience bootstrapping a project and evolving from zero to one to large scale.
  
• Ability to come up with innovative engineering driven solutions for product needs.
• Strong cross-functional collaboration skills with both product/technical and business teams.

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.

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.

The US base salary range for this full-time position is $147,000-$211,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Research to understand technical specs of recommendations systems across Search/Shopping stacks.
  
• Research state-of-art recommendation system solutions leveraging AI/Agent systems.
  
• Identify gaps/opportunities in the system (specifically the retrieval components) affecting Shopping experience and design scalable and reliable solutions to address these gaps.
• Perform metrics analysis to evaluate the end to end performance.
  
• Collaborate with TL/PM/Data Scientist partners to iteratively validate hypotheses and propose next steps.

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Requisition #: 107979286874333894

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