Senior Software Engineer, AI/ML, Search Personalization
Mountain View, CA, USA · Senior
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About the role
- - Bachelor's degree or equivalent practical experience.
- - 5 years of experience with software development in one or more programming languages.
Responsibilities
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Design and implement recommendation systems models across different domains, leverage ML infrastructure, and contribute to architecture design.
Requirements
- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, and embedding) in production, and experience building architecture.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Nice to have
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- Understanding of modern recommendation architectures (e.g., two-tower models, sequential user modeling) and how to integrate large foundation models into existing ranking/retrieval stacks.
- Our products need to handle information at massive scale, and extend well beyond web search.
- 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 Google Search, we're reimagining what it means to search for information - any way and anywhere.
Compensation
- $174k-$252k
Benefits
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
This listing is sourced directly from Google's careers page and normalized into a canonical job model.