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Computer Vision Engineer Jobs in Milwaukee, WI (NOW HIRING)

Directsupply

Staff Software Engineer

Milwaukee, WI

Technical expertise in AI integration across natural language processing, computer vision, and ... Mentor engineers, sharing expertise in AI-first methodologies and best practices. * Lead cross ...

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 ...

Direct Supply, Inc.

Senior Software Engineer

Milwaukee, WI · On-site

$120.70K - $159.10K/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

Senior Software Engineer

Milwaukee, WI

$120.70K - $159.10K/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 ...

langan

CAD Designer

Milwaukee, WI

$26.50 - $36.50/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 ...

langan

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 ...

Utilitra

CAD Field Technician

Brookfield, WI · On-site

$26 - $31/hr

Engineering Manager Work Schedule: M-F (four 10 hours days) Compensation: $ 26-31 per hour based on ... Company-paid health insurance (medical, vision, dental, short-term and long-term disability, and ...

Utilitra

CAD Field Technician

Brookfield, WI · On-site

$26 - $31/hr

Engineering Manager Work Schedule: M-F (four 10 hours days) Compensation: $ 26-31 per hour based on ... Company-paid health insurance (medical, vision, dental, short-term and long-term disability, and ...

Utilitra

CAD Field Technician

Brookfield, WI

Engineering Manager Work Schedule: M-F (four 10 hours days) Compensation: $ 26-31 per hour based on ... Company-paid health insurance (medical, vision, dental, short-term and long-term disability, and ...

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Computer Vision Engineer information

See Milwaukee, WI salary details

$47.8K

$119.9K

$135.6K

How much do computer vision engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for computer vision engineer in Milwaukee, WI is $119,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $129,700.00 per year, depending on experience, location, and employer.

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 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.

More about Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in Milwaukee, WI? The most popular types of Computer Vision Engineer jobs in Milwaukee, WI are:
What job categories do people searching Computer Vision Engineer jobs in Milwaukee, WI look for? The top searched job categories for Computer Vision Engineer jobs in Milwaukee, WI are:
Computer Vision Engineer jobs near you
Staff Software Engineer

Staff Software Engineer

Direct Supply, Inc.

Milwaukee, WI • On-site

Full-time

Posted 25 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 Staff Software Engineer position, you'll play a critical role in shaping AI-first engineering practices, setting technical direction, and driving the adoption of cutting-edge AI capabilities across multiple teams. You will influence how software is built, ensuring that AI augmentation, agentic workflows, and autonomous systems are embedded into our engineering DNA. This role involves architecting and scaling AI-powered solutions, mentoring senior engineers, and collaborating with leadership to define and execute AI-driven strategies. Your leadership will extend beyond technical execution-helping teams develop a deep understanding of business context, financial implications, and the strategic impact of AI-driven 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 influence senior 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.
  • Experience in architecting scalable AI-powered solutions that align with long-term business goals and customer needs.

What You'll Do and Impact:
  • Define and execute the AI engineering strategy, embedding AI-first principles across teams and projects.
  • Architect and scale AI-enhanced systems, integrating LLMs, agentic workflows, and composable architectures.
  • Mentor engineers, sharing expertise in AI-first methodologies and best practices.
  • Lead cross-functional AI initiatives, incorporating NLP, computer vision, and generative AI into products.
  • Implement AI-powered developer tools to streamline development and boost efficiency.
  • Drive experimentation and bridge the gap between AI research and production-ready applications.
  • Partner with leadership to develop AI adoption roadmaps aligned with business objectives.
  • Ensure security, scalability, and AI observability throughout the software lifecycle.
  • Make key decisions on technical trade-offs, architecture, and AI tooling.

Experience:
  • 8+ years of software engineering experience, including 3+ years leading AI-powered application development.
  • Bachelor's degree in Computer Science, Computer Engineering, or related field.
  • Proven experience developing, deploying, and scaling AI-powered applications (provide examples of integrations using open models or APIs).
  • Expertise in designing AI-first architectures, including microservices, event-driven systems, and real-time AI workflows.
  • Hands-on experience with LLMs, agentic AI models, and autonomous AI-driven workflows.
  • Strong skills in AI model deployment, cost optimization, and fine-tuning.
  • Deep understanding of security, compliance, and ethical considerations in AI development.

Additional Items of Interest:
  • Experience leading AI-first engineering transformations across teams.
  • Contributions to open-source AI projects or AI thought leadership.
  • Experience with agentic AI frameworks, composable AI solutions, and MLOps best practices.
  • Industry engagement through conferences, research initiatives, or AI-first development communities.
  • Cloud-native AI deployment experience (Docker, Kubernetes, cloud platforms).

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.
© 2013 to 2026 Direct Supply, Inc. All rights reserved.

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