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Sr. Machine Learning Engineer

General Motors
San Francisco, USA
Full-time
Senior · 4+ years experience
Hybrid
Discovered 1 weeks ago

Full Job Posting

About GM

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Qualifications

  • Experience with different ISP architectures and camera development
  • Experience with at least one image quality evaluation software, preferably Imatest
  • Experience with automotive ISP tuning is a big plus
  • Experience with vendor management and manufacturing processes
  • Experience with optimizing camera ISP for computer vision algorithms or Machine Learning.

Responsibilities

  • Responsible for delivering Camera Image Signal Processing (ISP) tuning optimized for autonomous vehicle use-cases
  • Work closely with cross-functional teams and external vendors on specifications, system definition, software development, and image quality tuning and evaluation
  • Design and execute comprehensive objective and subjective image quality evaluations using lab charts and real-world scenes, selecting appropriate metrics and analyses for each, leveraging tools such as Imatest and other chart/scene-based analysis methods, and developing GM-specific test scripts and IQ specification analysis tools.
  • Solid understanding of image sensors to optimize HDR sensor configurations and ISP settings for autonomous driving scenarios, aligning objectives and success metrics across EAI, system, and sensor teams.
  • Work with sensor validation and vehicle fleet teams to perform ISP characterization, image quality tuning and evaluation, and troubleshoot image quality related issues
  • Collaborate with machine learning engineers and hardware teams to architect sensing strategy for autonomous vehicles at scale
  • Innovate new techniques and conduct studies in optimizing ISP and performance for machine perception
  • BS, MS/ PhD in imaging science, EE, CS, or similar field with 4+ years of hands-on experience in camera ISP tuning and evaluation
  • Must have hands-on experience tuning various ISP modules – AE, AWB, HDR processing, noise reduction and sharpness, tone mapping, and color tuning
  • Experience with different ISP architectures and camera development
  • Experience characterizing image sensors and tuning image sensor settings
  • Experience with at least one image quality evaluation software, preferably Imatest
  • Proficiency in programming languages like C/C++ or Python
  • Experience in image processing and data analysis
  • Experience with automotive ISP tuning is a big plus
  • Exposure to firmware design and/or real-time systems
  • Experience with vendor management and manufacturing processes
  • Hands-on experience optimizing image sensor–level IQ settings and operating modes to balance noise, dynamic range, motion blur, and artifacts for ADAS/autonomous use cases.
  • Experience with optimizing camera ISP for computer vision algorithms or Machine Learning.
  • Experience evaluating how sensor hardware and optical design impact image quality and ISP tuning trade-offs.

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