Machine Learning Engineer, Computer Vision
Company: Google
Location: Mountain View
Posted on: April 5, 2026
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Job Description:
Minimum qualifications: Bachelor’s degree or equivalent
practical experience. 5 years of experience with software
development in one or more programming languages (e.g., Java,
Python, C/C++). Experience with image processing, computer vision,
and machine learning algorithms. Experience with machine learning
computer vision algorithm development and tools (e.g., tensorflow,
flume, machine learning libraries), artificial intelligence, deep
learning. Experience with ML infrastructure (e.g., model
deployment, model evaluation, data processing, debugging).
Preferred qualifications: Master's degree or PhD in Engineering
with a focus on computer vision or camera. Experience in building
and testing consumer electronic products for manufacturing
including design for manufacturing (DFM) and design for test (DFT).
Experience in building machine learning powered
automatic-optical-inspection (AOI) systems including hardware,
software, and algorithms. Experience with Machine Learning
infrastructure (e.g., model deployment, model evaluation, model
serving, data processing, debugging, fine tuning). Experience with
generative AI and LLM related skills (e.g. Gemini AI suite, Vertex
AI). Ability to travel domestically or internationally up to 20% of
the time as needed. 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. The scope of
the Central Test Engineering team spans hardware and software, and
across engineering and operations as the team that knows the
secrets to successfully shipping high-volume consumer products
while balancing engineering and operational priorities. In this
role, you will own one of the key consumer satisfaction metrics
such as functional performance of the device. As a key member of
the cross-functional team that will launch the product, you will be
an integral part of Google's hardware success. You will use your
computer vision experience to develop multiple machine learning
based automatic optical inspections stations for production lines.
The Platforms and Devices team encompasses Google's various
computing software platforms across environments (desktop, mobile,
applications), as well as our first party devices and services that
combine the best of Google AI, software, and hardware. Teams across
this area research, design, and develop new technologies to make
our user's interaction with computing faster and more seamless,
building innovative experiences for our users around the world. The
US base salary range for this full-time position is
$174,000-$252,000 bonus equity benefits. Our salary ranges are
determined by role, level, and location. 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 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. Debug the computer vision or image
processing algorithms to investigate camera or assembly failures.
Design and develop components of scalable Machine Learning
infrastructure for manufacturing. Maintain and improve existing AI
platform to support advanced automatic optical inspection.
Keywords: Google, Daly City , Machine Learning Engineer, Computer Vision, IT / Software / Systems , Mountain View, California
