Computer Vision and Machine Learning Engineer

Minimum qualifications:

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Java, Python, C/C++).

Preferred qualifications:

• Master's degree or PhD in Engineering with a focus on Computer Vision or Camera, or equivalent practical experience.
• Experience in building and testing consumer electronic products for manufacturing including DFM (Design for Manufacturing) and DFT (Design for Test).
• Experience in building machine learning powered automatic-optical-inspection systems including hardware, software, and algorithms.
• Experience with LLM related skills (e.g., Gemini AI suite, Vertex AI).

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

The US base salary range for this full-time position is $161,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Develop cutting edge solutions in artificial intelligence and machine learning applications for smart manufacturing.
• Implement and adapt deep learning architecture and the goal to land the factory test stations with a focus on automatic optical inspection solutions for production lines from New Product Introduction (NPI) to Mass Production (MP) stage.
• Understand and debug the computer vision or image processing algorithms to investigate camera or assembly failures.
• Perform failure analysis of the build data (e.g., yield, overkill, escape rate) to improve the detection algorithm accuracy and stabilize station hardware setup involving camera optics and lighting conditions.
• Work with Original Design Manufacturer (ODM), Joint Development Manufacturer (JDM) and Contract Manufacturer (CM) partners to maintain the full test station including both hardware and software to production lines.