California Jobs

Staff Software Engineer, AI/ML, Google Ads


Pay$197000.00 - $291000.00 / year
LocationMountain View/California
Employment typeFull-Time

This job is now closed

  • Job Description

      Req#: 32396566054

      Minimum qualifications:

      1. Bachelor's degree or equivalent practical experience.
      2. 8 years of experience in software development.
      3. 5 years of experience testing and launching software products.
      4. 5 years of experience with speech/audio technology, reinforcement learning, ML infrastructure, or related ML fields.
      5. 5 years of experience leading ML design and optimizing ML infrastructure, including model deployment, evaluation, data processing, debugging, and fine-tuning.
      6. 3 years of experience in software design and architecture.

      Preferred qualifications:

      1. Master's degree or PhD in Engineering, Computer Science, or related fields.
      2. 8 years of experience with data structures and algorithms.
      3. 3 years in a technical leadership role managing project teams and setting technical direction.
      4. 3 years of experience working on cross-functional or cross-business projects.

      About the role:

      Google's software engineers develop next-generation technologies impacting billions of users. The role involves working on specific projects vital to Google, with opportunities to switch teams. Candidates should be versatile, leadership-oriented, and eager to tackle new challenges across the full technology stack.

      About Google Ads:

      Google Ads powers the open internet by connecting and creating value for users, publishers, advertisers, and Google. The team develops advertising products across various platforms, focusing on creating trusted experiences and helping businesses grow.

      Salary Range:

      The US base salary range is $197,000-$291,000 plus bonus, equity, and benefits. Exact figures depend on role, level, location, skills, experience, and education. Details will be shared during hiring.

      Additional responsibilities:

      • Design, develop, test, deploy, and maintain large-scale software solutions.
      • Provide technical leadership, manage priorities, and influence team alignment.
      • Lead design and implementation in ML areas, optimize infrastructure, and guide model and data strategies.

      Google is an equal opportunity employer committed to diversity and inclusion. For accommodations, please complete our Accommodations for Applicants form.

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  • About the company

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