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Job Description

  • Conduct research and drive production engineering in computer goals, graphics, and generative AI at scale.
  • Develop advanced generative media models for fit estimation, virtual try-on, human visualization, home/spatial rendering, and broader shopping experiences.
  • Implement, train, evaluate, and iterate on machine learning models, launching products at scale in collaboration with production teams.
  • Drive in agentic systems and development workflows.
  • Mentor interns and collaborate closely with cross-functional team members to deliver research, models, and products.

Minimum qualifications:

  • PhD in Computer Science, a related field, or equivalent practical experience.
  • 2 years of experience in computer vision.
  • Experience with C++, Python, generative AI, and machine learning.
  • One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:

  • 1 year of experience leading research efforts and influencing other researchers.
  • Experience with 3D human modeling.
  • PhD in Computer Science, a related field, or equivalent practical experience.
  • 2 years of experience in computer vision.
  • Experience with C++, Python, generative AI, and machine learning.
  • One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
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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:
2 weeks ago
Workplace
On-site
Job Type
Full Time
Education
Any
Experience
5+ years

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