Software Engineer III, AI/ML, Google Fi

GoogleMountain View, CA
1d$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. Google Fi Wireless leverages the best of Google to deliver simple and secure mobile connectivity. Our team is responsible for the entire subscriber journey, from plan selection and device activation to providing award-winning coverage around the world. Our team's deep expertise spans cellular network operations, iOS and Android app development, and subscription business operations. The Fi team applies Google's AI to solve real-world problems from AI-enhanced call audio to AI billing summaries to AI-powered cohort analysis that helps Google Fi customers stay reliably connected to what’s most important to them. The Fi team is committed to providing team members with the opportunity to build their applied AI skillset, so that all Fi subscribers can benefit from the best of Google's AI models.The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google [https://careers.google.com/benefits/].

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in Python and Java.
  • 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Nice To Haves

  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures and algorithms.
  • Experience developing accessible technologies.

Responsibilities

  • Develop, maintain, and contribute to high-quality, scalable, and reliable infrastructure and product.
  • Participate in the development and delivery of AI/ML and agentic solutions for the product.
  • Advocate engineering excellence on the platform, focusing on performance, reliability, monitoring, and testing.
  • Understand your technical debt and proactively spot and suggest areas of future work for yourself and your team.
  • Design scalable systems, write great code, learn new things and solve difficult problems.
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