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Job Description

  • Architect, train, and implement machine learning models for depth estimation tailored for Android XR headsets and smart glasses.
  • Design algorithms for split-compute architectures, optimizing specifically for extreme power efficiency and low latency.
  • Lead the end-to-end development, testing, and deployment of a stable depth pipeline runtime for end users.
  • Collaborate effectively with partner eng teams as well as with Product and UX to deliver on the main target key performance indicators (KPIs).

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • Experience in designing computer vision systems.
  • Experience with software engineering, C++, Python.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • Experience in 3D reconstruction.
  • Detailed understanding of mobile imaging systems (image sensors, optics, auto-exposure, image signal processor (ISP), etc.).
  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • Experience in designing computer vision systems.
  • Experience with software engineering, C++, Python.
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

All jobs at Google

Location

United States

Job Overview
Job Posted:
4 days ago
Workplace
On-site
Job Type
Full Time
Education
Any
Experience
3+ years

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