Software Engineer II, ML Processing and Analysis

Google

  • London
  • Permanent
  • Full-time
  • 6 days ago
Minimum qualifications:
  • Bachelor’s degree or equivalent practical experience.
  • 1 year of experience with software development in one or more programming languages (e.g., Python, C++).
  • 1 year of experience with data structures or algorithms.
  • 1 year of experience implementing core ML concepts.
Preferred qualifications:
  • Experience in Generative AI (Large Language Models, Multimodal).
  • Experience with machine learning algorithms and tools (e.g., JAX), artificial intelligence, deep learning, natural language processing or other ML discipline.
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.Our mission is to improve the time to model quality for our users. We do so by bringing Data Optimization techniques to a broad audience through integrated tools and platforms. We build and iterate on tools to automatically and efficiently apply state of the art data optimization techniques. We demonstrate to our users which ones work for their use case, and deliver insights on how to improve further. We’re working with key product teams across Google.Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Responsibilities
  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices between available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Apply foundational ML concepts and contribute to the implementation of solutions in one or more specialized ML areas.
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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