Senior Software Engineer, AI/ML Recommendations, Rankings, Predictions, Google Ads

Google is a global technology leader that specializes in internet-related services and products, including search, cloud computing, software, and hardware.
$161,000 - $239,000
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI

Description For Senior Software Engineer, AI/ML Recommendations, Rankings, Predictions, Google Ads

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.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

In this role, you will be responsible for writing and testing product or system development code, collaborating with peers and stakeholders through design and code reviews, contributing to documentation and educational content, triaging product or system issues, and designing and implementing recommendation systems models across different domains. You will leverage ML infrastructure and contribute to architecture design.

The ideal candidate will have a strong background in software development, data structures/algorithms, and experience with building and deploying recommendation systems models in production. Experience with ML infrastructure and a background in Computer Science or a related technical field is highly valued.

Last updated 4 days ago

Responsibilities For Senior Software Engineer, AI/ML Recommendations, Rankings, Predictions, Google Ads

  • Write and test product or system development code
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies
  • 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
  • Design and implement recommendation systems models across different domains, leverage ML infrastructure, and contribute to architecture design

Requirements For Senior Software Engineer, AI/ML Recommendations, Rankings, Predictions, Google Ads

Python
Java
  • Bachelor's degree or equivalent practical experience
  • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms
  • 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, embedding) in production; and experience building architecture
  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)

Benefits For Senior Software Engineer, AI/ML Recommendations, Rankings, Predictions, Google Ads

  • bonus
  • equity
  • benefits

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