General Motors
Sr. Machine Learning Engineer
$175K–$250K
San Francisco, California, United States of America · Hybrid · Senior · Full-time · Posted Oct 12, 2026
- Experience
- 4+ years of hands-on experience in camera ISP tuning and evaluation.
- Education
- BS, MS, or PhD in imaging science, EE, CS, or similar field.
About the job
Develop and tune camera image signal processing for autonomous vehicles, coordinating image-quality evaluation and camera sensing strategy across software, hardware, and vendor teams.
What you'll do
- Deliver and evaluate camera ISP tuning for autonomous-driving use cases, including sensor configuration and image-quality characterization.
- Work with internal teams and external vendors on camera specifications, software development, image-quality evaluation, and troubleshooting.
- Develop evaluation tools and studies to optimize ISP performance for machine perception.
What they ask for
- BS, MS, or PhD in imaging science, EE, CS, or a similar field.
- Hands-on experience tuning ISP modules including AE, AWB, HDR processing, noise reduction and sharpness, tone mapping, and color.
- Experience with ISP architectures, camera development, image sensor characterization, and sensor settings.
- Experience with image-quality evaluation software and proficiency in C/C++ or Python; experience in image processing and data analysis.
Nice to have
- Automotive ISP tuning; firmware design or real-time systems; vendor management or manufacturing processes.
- Optimizing sensor or ISP settings for ADAS/autonomous use cases, computer vision, or machine learning.
Pay
$174,900 - $250,200 USD base salary
Tools
Imatest, C/C++, Python
AI focus
Optimize camera ISP and sensing strategies for autonomous-vehicle machine perception, computer vision, and machine-learning use cases.
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