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Computer Vision Engineer Jobs in Wisconsin (NOW HIRING)

Direct Supply, Inc.

Senior Software Engineer

Milwaukee, WI · On-site

$120K - $159K/yr

Technical expertise in AI integration across natural language processing, computer vision, and generative models. What You'll Do and Impact: * Lead and mentor engineers in AI-first development ...

Directsupply

Staff Software Engineer

Milwaukee, WI

Technical expertise in AI integration across natural language processing, computer vision, and generative models. What You'll Do and Impact: * Lead and mentor engineers in AI-first development ...

Directsupply

Senior Software Engineer

Milwaukee, WI

$120K - $159K/yr

Technical expertise in AI integration across natural language processing, computer vision, and generative models. What You'll Do and Impact: * Lead and mentor engineers in AI-first development ...

Serve Robotics

$225K - $260K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... Work closely with ML scientists and other engineers to integrate new models, experiments, and ...

Serve Robotics

$211K - $246K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... Define the data engineering and analytics roadmap, aligned with company goals. This includes ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Wisconsin

Computer Vision Engineer information

See Wisconsin salary details

$49K

$122.7K

$138.8K

How much do computer vision engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for computer vision engineer in Wisconsin is $122,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $132,700.00 per year, depending on experience, location, and employer.

What do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

What are Computer Vision Engineers?

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 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.

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 engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

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 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.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
More about Computer Vision Engineer jobs
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What cities in Wisconsin are hiring for Computer Vision Engineer jobs? Cities in Wisconsin with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Senior Software Engineer

Senior Software Engineer

Direct Supply, Inc.

Milwaukee, WI • On-site

$120K - $159K/yr

Full-time

Posted 6 days ago

Job description

Position Summary:
Direct Supply is building the future of healthcare technology with industry-leading products, solutions and platforms to help improve the lives of millions of seniors and those who care for them.
In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools, machine learning models, and automation frameworks. Beyond writing code, you will play a key role in setting technical direction, mentoring engineers, and driving AI-first software strategies. You'll work on a cross-functional team dedicated to creating high-quality, scalable web-based products, mobile applications, or server-based systems. As a senior engineer, you will take ownership of complex AI-enhanced solutions, influence architectural decisions, and advocate for AI-driven development methodologies. Your leadership will help the team develop a deep understanding of business context, financial trade-offs, and the strategic impact of AI-powered solutions.
Skills Needed:
  • Applies AI and Technology - Identifies opportunities to boost efficiency and add value using AI and tech. Embraces and applies digital innovations and tech solutions to build business. Eagerly learns and integrates new technologies where they matter most.
  • Champions Innovation - Propels teams to unlock value with cutting-edge, tech-enabled innovations. Stays ahead of the tech curve, ready to embrace the next big thing. Leads with an entrepreneurial mindset and takes calculated risks.
  • Leads Through Change & Ambiguity - Navigates the unknown with confidence, steering through change and uncertainty with a clear vision and unwavering determination.
  • Ability to mentor and lead engineers in AI-first development methodologies, fostering a culture of innovation and technical excellence.
  • Technical expertise in AI integration across natural language processing, computer vision, and generative models.

What You'll Do and Impact:
  • Lead and mentor engineers in AI-first development methodologies and best practices.
  • Architect and scale AI-enhanced systems, ensuring security, scalability, and high performance.
  • Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated content creation into products.
  • Drive adoption of AI-powered engineering tools (e.g., LLM-augmented IDEs, automation frameworks) to enhance development efficiency.
  • Implement observability and monitoring systems to track AI application performance and ensure proactive issue resolution.
  • Design and optimize AI-driven APIs and microservices for seamless interaction with models, applications, and databases.
  • Stay engaged with AI and engineering communities, bringing cutting-edge practices and insights back to the team.
  • Mentor engineers on technical execution, business impact, and AI-first strategic thinking.
  • Balance execution speed with innovation, rapidly testing and iterating AI-driven features.
  • Work in an agile environment, ensuring high-quality, scalable software solutions.

Experience:
  • 5+ years of software development experience, including 2+ years working on AI-powered applications or AI-integrated solutions.
  • Bachelor's degree in Computer Science, Computer Engineering, or a related field.
  • Hands-on experience developing and deploying AI-driven applications (provide examples using models like Hugging Face or APIs like OpenAI, Anthropic).
  • Proficiency in Microsoft environments (Visual Studio, VS Code) and cloud services (AWS, Azure) for scalable AI applications.
  • Strong understanding of AI model cost optimization, infrastructure scaling, and performance tuning.
  • Experience integrating LLMs, agentic workflows, and autonomous AI systems into production environments.
  • Proven ability to mentor engineers and lead AI-first engineering transformations.

Additional Items of Interest:
  • Contributions to open-source AI projects or AI research.
  • Experience with agentic AI frameworks (LangChain, AutoGPT).
  • Thought leadership through conferences, research, or industry engagement in AI-first development.
  • Expertise in AI-powered UI/UX development and human-computer interaction.
  • Strong proficiency in containerization (Docker, Kubernetes) and cloud-native AI deployments.
  • Diligence in unit testing, integration testing, and AI-driven problem-solving.

Job to be performed in the location listed. Generous benefit package available.
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