Senior Software Engineer, Machine Learning, Platforms & Devices

Google

  • Mountain View, CA
  • Permanent
  • Full-time
  • 7 days ago
Minimum qualifications:
  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in Python.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • Experience in Natural Language Processing, Generative AI, or Large Language Models.
Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical field.
5 years of experience with data structures/algorithms. * Experience developing accessible technologies.About the jobGoogle'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.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.The US base salary range for this full-time position is $166,000-$244,000 + 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 .Responsibilities
  • Create partnerships with product teams and researchers at Google DeepMind to translate state-of-the-art AI research into tangible, cutting-edge user experiences in flagship Platforms & Devices (P&D) products.
  • Lead the end-to-end development of new models, from initial research and prototyping for core challenges to rigorous evaluation.
  • Design and build scalable, reusable ML models and infrastructure that serve as a foundation for multiple product teams, identifying strategic opportunities to accelerate innovation across the entire Platforms & Devices ecosystem.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a disability or special need that requires accommodation, please let us know by completing our .

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