Computer Vision and Machine Learning Engineer
Company: Google
Location: Mountain View
Posted on: March 23, 2025
Job Description:
Computer Vision and Machine Learning Engineercorporate_fare
Google place Mountain View, CA, USAApplyMinimum 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 JobGoogle'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.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.Google is proud to be an equal opportunity and
affirmative action employer. We are committed to building a
workforce that is representative of the users we serve, creating a
culture of belonging, and providing an equal employment opportunity
regardless of race, creed, color, religion, gender, sexual
orientation, gender identity/expression, national origin,
disability, age, genetic information, veteran status, marital
status, pregnancy or related condition (including breastfeeding),
expecting or parents-to-be, criminal histories consistent with
legal requirements, or any other basis protected by law.Google is a
global company and, in order to facilitate efficient collaboration
and communication globally, English proficiency is a requirement
for all roles unless stated otherwise in the job posting.
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Keywords: Google, Mountain View , Computer Vision and Machine Learning Engineer, IT / Software / Systems , Mountain View, California
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