Software Engineer Iii, Play Search Gateway, Homepage and Suggest

Google Google · Big Tech · Mountain View, CA +1

Software Engineer III at Google working on Play Store Search Gateway, Homepage, and Suggest features. The role involves designing and developing backend services, implementing new features, and applying ML and Generative AI to enhance user experience, impacting billions of users globally. Responsibilities include working with LLMs and DNNs for query suggestions and personalized content, analyzing user data, and collaborating with cross-functional teams.

What you'd actually do

  1. Design, develop and improve scalable solutions for the Play Store Search Homepage and Suggest features, impacting billions of Android users globally.
  2. Implement backend services and APIs within the Play Gateway Server infrastructure, contributing to features that impact millions of users.
  3. Contribute to enhancing algorithms and models for query suggestions and personalized content by leveraging technologies like LLMs and DNNs, under the guidance of executive engineers.
  4. Analyze user engagement data and experiment results (A/B tests) to help measure impact and identify opportunities for improvement.
  5. Collaborate with Product Managers, UX Designers, and other engineering team members to understand requirements and deliver high-quality code.

Skills

Required

  • software development
  • Speech/audio
  • reinforcement learning
  • ML infrastructure
  • model deployment
  • model evaluation
  • optimization
  • data processing
  • debugging

Nice to have

  • Search quality
  • Search related products
  • recommendation and ranking systems
  • GenAI
  • LLM
  • machine learning algorithms
  • tools

What the JD emphasized

  • Machine Learning
  • Generative AI
  • LLMs
  • DNNs
  • Search quality
  • recommendation and ranking systems
  • GenAI
  • LLM
  • machine learning algorithms

Other signals

  • applying Machine Learning and Generative AI
  • enhancing algorithms and models for query suggestions and personalized content
  • leveraging technologies like LLMs and DNNs
  • run large-scale A/B test experiments