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Senior Software Engineer, AI/ML Computer Vision, Pixel

Google
Posted a month ago, valid for 24 days
Location

Mountain View, CA 94041, US

Salary

$174,000 - $253,000 per year

Contract type

Full Time

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Sonic Summary

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  • The job requires a Bachelor's degree or equivalent practical experience and a minimum of 5 years of programming experience in Python or C++.
  • Candidates should have at least 3 years of experience in testing, maintaining, or launching software products, along with 1 year in software design and architecture.
  • Additionally, 3 years of experience in Computer Vision, ML infrastructure, and related fields is necessary, with a preference for those holding a Master's degree or PhD in Computer Science or a related technical field.
  • The salary for this position ranges from $174,000 to $253,000, plus a 15% bonus target, equity, and benefits.
  • This role involves developing next-generation technologies at Google, focusing on mobile experiences and innovative consumer electronics.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience programming in Python or C++.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years of experience with Computer Vision (image classification and processing, object detection, visual search), video generation, or signal processing; and experience designing Computer Vision systems.
  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 5 years of experience with data structures/algorithms.
  • 1 year of experience in a technical leadership role.
  • Experience developing accessible technologies.

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 Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

  • Write and test product or system development code. 
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst 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.
  • Design and implement computer vision systems, leverage ML infrastructure, and evaluate tradeoffs between different algorithms and design techniques.



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