Software Engineer III ML Infrastructure Pixel

4 tygodni temu

Warszawa, mazowieckie, Polska Google Pełny etat
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
  • 2 years of experience with data structures or algorithms in either an
    academic or industry setting.
  • Experience coding in one or more of the following programming languages (e.g., C, C++, Java, Python, Go).

Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with performance, large scale systems data analysis, visualization tools, and/or debugging.
  • Experience developing accessible technologies.
  • Proficiency in code and system health, diagnosis and resolution, and software test engineering.
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 Pixel Biometrics team provides seamless biometric authentication for the Pixel lineup of devices. We have delivered NIR (Near-infrared) face authentication and developed the world's most secure RGB face authentication using commodity hardware. We work on the cutting edge of ML, data science and engineering to provide users with secure, privacy-preserving and useful AI features.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Responsibilities
  • Develop large scale data ingestion and processing pipelines.
  • Build systems to fine-tune, evaluate, and visualize the performance of ML systems.
  • Handle releasing face authentication model drops for in-market and unreleased Pixel devices.
  • Expand existing authentication infrastructure stack to support other devices and ML teams.
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.

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