Software Engineer III, User Voice AI/ML, gTech

GoogleBoulder, CO
99d$141,000 - $202,000

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. In this role, you will be a member of the User Voice AI/ML team, and be responsible for on-boarding the Feedback, ML infrastructure and maintaining and enhancing it in a multi-year road-map to build the next generation of suite of user feedback products. The User feedback is a Google Primitive and several Google teams rely on Feedback suite of products to collect, annotate and analyse user feedback within their product. You will collaborate and build the model serving, reduce the time to train/deploy models and critical applications and infrastructure to support our ML platform.

Requirements

  • Experience in software engineering.
  • Knowledge of information retrieval, distributed computing, and large-scale system design.
  • Familiarity with networking and data storage.
  • Understanding of security, artificial intelligence, and natural language processing.
  • Experience in UI design and mobile development.

Nice To Haves

  • Versatile engineering skills.
  • Leadership qualities.
  • Enthusiasm for tackling new problems across the full-stack.

Responsibilities

  • On-board the Feedback, ML infrastructure.
  • Maintain and enhance the ML infrastructure in a multi-year road-map.
  • Build the next generation of user feedback products.
  • Collaborate to build model serving.
  • Reduce the time to train/deploy models.
  • Support critical applications and infrastructure for the ML platform.

Benefits

  • Base salary range of $141,000-$202,000.
  • Bonus.
  • Equity.
  • Comprehensive benefits package.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

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