Google

Software Engineer, AI/ML Computer Vision, Pixel Camera

Google$147K — $210K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 2 years of programming experience in Python and C.
  • 1 year of experience in Computer Vision, including image classification and processing, object detection, or signal processing.
  • 1 year of experience with ML infrastructure, focusing on model deployment and evaluation.

Responsibilities

  • Write product or system development code.
  • Collaborate with peers through design and code reviews to promote best practices.
  • Contribute to and adapt documentation based on updates and user feedback.
  • Analyze and debug product issues, assessing their impact on operations and quality.
  • Implement computer vision solutions and optimize machine learning models.

Benefits

  • 15% bonus target equity benefits.
Full Job Description
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience programming in Python and C .
  • 1 year of experience with Computer Vision (image classification and processing, object detection, visual search), video generation, or signal processing.
  • 1 year 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 fields.
  • 2 years of experience with data structures or algorithms.
  • Experience developing accessible technologies.


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

US: $147000 - $210000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities
  • Write 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.
  • Implement computer vision solutions, utilize ML infrastructure, and contribute to model optimization and data processing.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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