Google

Imaging Machine Learning Engineer

Google$132K — $189K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Electrical Engineering, Computer Science, Imaging Science, Physics, or related field, or equivalent experience.
  • 2 years in Image Quality, Computer Vision, or a relevant technical field.
  • 2 years of experience in Python and C for algorithms development.
  • Master's degree or PhD preferred.
  • 3 years of professional experience in a related field is preferred.
  • Experience with SoC/ISP constraints, 3A tuning, or applying Deep Learning in imaging is a plus.
  • Strong communication skills for technical information exchange.

Responsibilities

  • Optimize image quality across hardware and software.
  • Fine-tune 3A algorithms for different lighting conditions.
  • Build software tools for ML automation in image quality tuning.
  • Leverage hardware capabilities through software tuning for improved performance.

Benefits

  • 15% bonus target equity.
  • Access to Google's diverse range of employee benefits.
Full Job Description
Minimum qualifications:
  • Bachelor's degree in Electrical Engineering, Computer Science, Imaging Science, Physics, or a related field, or equivalent practical experience.
  • 2 years of experience in Image Quality, Computer Vision, or a related technical field.
  • 2 years of experience in Python and C for algorithm development and implementation.

Preferred qualifications:
  • Master's degree, or PhD in a related field.
  • 3 years of professional experience in a related field.
  • Industry experience in SoC/ISP constraints, 3A tuning, or the application of Deep Learning to real-time imaging pipelines.
  • A proven track record of delivering high-quality, commercial, market-facing consumer cameras.
  • A strong track record of self-driven learning and the capability to rapidly master new technologies and domains.
  • Excellent written and verbal communication skills, with a demonstrated ability to translate technical concepts into clear, actionable insights for cross-functional partners.


About the job
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

US: $132000 - $189000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities
  • Optimize image quality across the hardware and software stack, ensuring hardware capabilities are leveraged through software tuning.
  • Fine-tune 3A algorithms to ensure performance across lighting and environmental conditions.
  • Build software tools, utilizing machine learning (ML) automation to streamline image quality (IQ) tuning, testing, benchmarking, and calibration workflows.


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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