Senior Software Engineer, AI/ML, Maps Ads

GoogleMountain View, CA
3h

About The Position

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. At Maps monetization, our mission is to enable relevant and integrated ads experiences that help users decide where to go by making businesses everywhere discoverable and engaging. Our team is responsible for maintaining the entire Maps Ads product experience as well as growing business. Work on the Quality of the Maps product across various sub products and initiatives. The limited real estate available, multiple surfaces/modes users engage with and the fact that most of the interactions are queryless makes this space unique in new ways. We have work across new formats and quality models predicting clicks, local conversions, etc in early stages. The scope involves working across the stack and improving the quality and business of maps.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience programming in C++ and SQL.
  • 3 years of experience with one or more of the following: reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • Experience with Deep Learning.

Nice To Haves

  • Master's degree or PhD in Computer Science or a related technical field.
  • 5 years of experience with data structures and algorithms.
  • 1 year of experience in a technical leadership role.
  • Experience with Python.
  • Experience with ML model fine-tuning, evaluation, and performance optimization for user-facing systems.

Responsibilities

  • Write and test product or system development code.
  • Collaborate with subject matter experts to understand issues and translate them into effective solution designs, partnering with Product, UX, and other engineering teams.
  • Identify new areas of improvement and drive a roadmap for new initiatives.
  • Develop, test, and monitor scalable, and reliable web solutions that meet business needs.
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