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Computer Vision Engineer Jobs in Maine (NOW HIRING)

dontwt.ai

DEEP LEARNING ENGINEER

Windham, ME · On-site

We are seeking a talented and driven Deep Learning Engineer to join our team and play a critical ... in computer vision or natural language processing. Contribute to the development of internal tools ...

Moderna

$20 - $60/hr

Currently pursuing a bachelor's or graduate degree in an engineering, computer science ... Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or ...

New

Moderna

$20 - $60/hr

Currently pursuing a bachelor's or graduate degree in an engineering, computer science ... Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or ...

New

Moderna

$20 - $60/hr

Currently pursuing a bachelor's or graduate degree in an engineering, computer science ... Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or ...

New

Moderna

$20 - $60/hr

Currently pursuing a bachelor's or graduate degree in an engineering, computer science ... Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or ...

New

Moderna

$20 - $60/hr

Currently pursuing a bachelor's or graduate degree in an engineering, computer science ... Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or ...

New

Moderna

$20 - $60/hr

Currently pursuing a bachelor's or graduate degree in an engineering, computer science ... Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or ...

New

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Maine

Computer Vision Engineer information

See Maine salary details

$47K

$117.7K

$133.1K

How much do computer vision engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for computer vision engineer in Maine is $117,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $127,300.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs

What are popular job titles related to Computer Vision Engineer jobs in Maine?

For Computer Vision Engineer jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in Maine look for?

The top searched job categories for Computer Vision Engineer jobs in Maine are:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Maine as of September 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $117,651 per year, or $56.6 per hour.

DEEP LEARNING ENGINEER

Windham, ME • On-site

dontwt.ai
See more jobs at dontwt.aiexternal

Other

Posted 9 days ago

Job description

We are seeking a talented and driven Deep Learning Engineer to join our team and play a critical role in developing and deploying sophisticated AI solutions for our clients.

LOCATION

New England

EMPLOYMENT TYPE

Permanent or Contract

What You’ll Do

Design, train, and optimize deep neural networks using frameworks like TensorFlow or PyTorch to solve complex real-world problems.

Develop and maintain robust data pipelines for large-scale datasets, ensuring data quality and efficient model training.

Collaborate closely with data scientists to deploy models into production environments, integrating them seamlessly with existing client workflows.

Monitor model performance, identify areas for improvement, and implement strategies to enhance accuracy and scalability.

Research and implement state-of-the-art deep learning techniques, staying on the forefront of advancements in computer vision or natural language processing.

Contribute to the development of internal tools and libraries to streamline deep learning workflows and accelerate model deployment.

You’re not satisfied with simply finding an answer – you want to understand why it works. A genuine curiosity about data, algorithms, and the underlying principles of machine learning is essential, along with a proactive desire to continuously expand your knowledge.

You approach challenges with a methodical mindset, breaking down complex problems into manageable components and leveraging your analytical abilities to identify creative solutions. You’re resourceful, able to find information independently, and aren't afraid to experiment.

You can clearly articulate technical concepts to both technical and non-technical audiences, fostering understanding and collaboration across teams. You’re a team player who actively shares knowledge and welcomes diverse perspectives.

Who You are

The AI landscape is constantly evolving, and projects often encounter unexpected hurdles. We’re looking for individuals who are adaptable, embrace change, and maintain a positive attitude in the face of challenges.

You take pride in your work and are committed to delivering high-quality results. You’re proactive, self-motivated, and take ownership of your projects from inception to completion as you are driven by a desire to see solutions succeed.

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