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Computer Vision Engineer Jobs in Wisconsin (NOW HIRING)

WI · On-site

$120 - $180/hr

Hands-on experience with at least two of the following: embedded & edge AI systems, computer vision ... C++ Programming * Embedded And Edge AI Systems ATS Optimization Keywords Hard Skills * Signal ...

New

WI · On-site

$110 - $150/hr

Work with a talented cross‑functional team of software, mechanical, electrical, and robotics engineers to develop our core technologies in robotics, assembly intelligence, computer vision, and ...

New

AI Developer

Milwaukee, WI · On-site

$53.75 - $71/hr

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 ...

WI · On-site

$120 - $170/hr

Work with a talented cross‑functional team of software, mechanical, electrical, and robotics engineers to develop our core technologies in robotics, assembly intelligence, computer vision, and ...

New

WI · On-site

$110 - $132/hr

We're building a small team of exceptional, hands-on engineers to make this happen. Mechanical ... Experience developing computer vision applications * Proficiency in Rust Working at Atomic Semi We ...

New

WI · On-site

$147.20 - $210.30/hr

Extensive AI/ML Experience : 5+ years in AI/ML engineering, including hands‑on work with GenAI, NLP, deep learning, and computer vision. * Technical Proficiency : Strong coding skills in Python and ...

CAD Designer

Milwaukee, WI · On-site

$26.50 - $36.75/hr

Langan provides expert land development engineering and environmental consulting services for major ... vision coverage; life insurance, short- and long-term disability insurance, and paid pregnancy ...

$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 ...

WI · On-site

$100 - $150/hr

The ideal candidate will combine deep technical expertise in AI delivery (computer vision, machine ... Develop educational programming in AI for surgery and translational data science. Minimum ...

New

Cad Programmer

Neenah, WI

$34.50 - $36.50/hr

Job Title CAD Programmer As a CAD Programmer, you will be responsible for interpreting engineering ... Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre ...

Showing results 41-60

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 Aug 19, 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 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.

What are the most commonly searched types of Computer Vision Engineer jobs in Wisconsin?

The most popular types of Computer Vision Engineer jobs in Wisconsin are:

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

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

What cities in Wisconsin are hiring for Computer Vision Engineer jobs?

Cities in Wisconsin with the most Computer Vision Engineer job openings:

Infographic showing various Computer Vision Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $122,652 per year, or $59 per hour.

Senior Software Engineer

Direct Supply, Inc.

Milwaukee, WI • On-site

$100 - $130/hr

Other

Re-posted 17 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.
Benefits

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

Direct Supply, Inc. and its U.S. subsidiaries are equal opportunity and affirmative action employers committed to diverse workforces.

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