Imaging Machine Learning Engineer

• 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.

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.

• 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.