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    Staff Compiler Engineer, Core Machine Learning, Google Cloud - United Kingdom - NLP PEOPLE

    NLP PEOPLE
    NLP PEOPLE United Kingdom

    4 hours ago

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    Description

    Staff Compiler Engineer, Core Machine Learning, Google Cloud

    Minimum qualifications:

    • Bachelor's degree or equivalent practical experience.

    • Candidates will typically have 8 years of experience in software development, and with data structures/algorithms.

    • Typically have 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

    • Typically have 5 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning, or natural language processing.

    Preferred qualifications:

    • Master's degree or PhD in Engineering, Computer Science, or a related technical field.

    • Typically 3 years of experience in a technical leadership role leading project teams and setting technical direction.

    • Typically 3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects.

    • Experience in performance analysis and optimization, including system architecture, performance modeling... or other similar experience.

    • Experience in distributed development and large-scale data processing.

    • Experience in compiler optimizations or related fields.

    About the job

    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.

    The Core Machine Learning (ML) Organization drives ML excellence for Google. The Core ML organization is responsible for creating a cohesive, well lit path for machine learning at Google. The organization is also responsible for developing ML infrastructure and execution around key ML efforts within Google.

    Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

    Responsibilities

    • Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

    • Review code developed by other developers and provide feedback to ensure best practices (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.

    • Contribute to a compiler for a novel processor designed to accelerate machine learning workloads. Target and compile high-performance optimizations and implementations. Implement critical features and improvements which increase the velocity of important internal and external customers.

    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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form

    Google for Startups is Google's initiative to help startups thrive across every corner of the world.

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