Software Engineer, Data AI/ML, YouTube Ads Relevance

Mountain View, CA, USA

Full-time

Onsite

$141K/yr - $202K/yr

Entry, Mid Level

Google is a leading technology company that develops next-generation technologies impacting billions of users. The Software Engineer role focuses on building and evolving product and service recommendation systems to enhance YouTube ads relevance and user experience.

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Responsibilities

Write product or system development code
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,)
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality
Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing

Qualification

Required

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 with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging)

Preferred

Master's degree or PhD in Computer Science or related technical fields
3 years of experience with large-scale data processing, data analytics, large-scale distributed systems, and machine learning or 2 years of experience with an advanced degree
2 years of experience with data structures and algorithms
1 year experience with Machine Learning Algorithms, Machine Learning Infrastructure, Machine Learning Architecture, Generative AI, Generative Modeling, Generative AI Agent
Experience developing accessible technologies