Imaging Machine Learning Engineer

Join Google’s Platforms and Devices team to improve imaging performance by optimizing image quality through both hardware-aware software tuning and machine learning.

Responsibilities

• Drive image quality improvements across the full hardware and software stack, ensuring available hardware capabilities are utilized via software tuning
• Fine-tune 3A algorithms to maintain strong performance across different lighting and environmental conditions
• Develop software tools that use ML automation to streamline image quality (IQ) tuning, testing, benchmarking, and calibration workflows

Requirements

• 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 building and implementing algorithms using Python and C++

Technologies

• Python
• C++
• Machine learning (ML)

Preferred Qualifications

• Master’s degree or PhD in a related field
• 3+ years of professional experience in a related field
• Experience with SoC/ISP constraints, 3A tuning, or applying Deep Learning to real-time imaging pipelines
• Proven track record delivering high-quality, commercial, market-facing consumer cameras
• Strong record of self-driven learning and rapid mastery of new technologies and domains
• Excellent written and verbal communication skills, with the ability to translate technical concepts into clear, actionable insights for cross-functional partners

Compensation

• USD 132,000 - 189,000 per year

Location

• Mountain View, CA (onsite)

Benefits

• 15% bonus target
• Equity
• Benefits
• Health insurance
• 401k match