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Computer Vision Engineer Jobs in Munster, IN (NOW HIRING)

Baxter & Woodman

Digital Water Engineer I

Chicago, IL · On-site

$74K - $90K/yr

Digital Water Engineer I Location Options: Crystal Lake, Chicago, Naperville, Bannockburn, or ... Foundational knowledge or interest in artificial intelligence, machine learning, computer vision ...

Resource Point LLC

AI/ML Engineer

Chicago, IL · On-site

Position: AI/ML Engineer Duration: 12 months Location: Chicago, IL An AI/ML Engineer designs ... Deep understanding of machine learning, deep learning, data mining, algorithms, and computer vision

Redfish Recruiting

Vision Software

IL · On-site

Vision Software Engineer In this role you will be the project owner and technical expert in ... A Bachelor's Degree in computer science, computer engineering, or electrical engineering ? Minimum ...

Reconstruct

Mobile App Developer

Chicago, IL · On-site

Mobile App Developer position How often do you get the chance to make a global impact developing ... Reconstruct's Visual Command Center (VCC) uses AI and Machine Learning inside of computer vision to ...

viaPhoton

Electrical Automation Engineer

Chicago, IL

Develop and deploy computer vision systems for real-time applications, including camera calibration, lighting, and micron-level resolution * Collaborate across engineering, operations, and production ...

Langan Engineering

CAD Designer

Chicago, IL · On-site

$25 - $35/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 ...

James Hardie

Senior AI/ML Solutions Engineer

Chicago, IL

$57 - $73.50/hr

... classification, computer vision). * Translate business requirements into scalable technical ... Work with data engineering teams to ensure robust data pipelines and features for AI models.

ONETRACK.AI

Field Project Engineer

Chicago, IL · Hybrid

Every team member is laser-focused on growing the value of our scalable computer vision platform ... As a Field Project Engineer at OneTrack.ai, you will be crucial in executing service projects in ...

Accenture

Responsible AI Engineer

Chicago, IL · On-site

Natural Language Processing, Text Mining, Computer Vision, Image Recognition * Machine Learning Visualization Tools * Minimum of 3 years of experience in the following: * Proficiency in programming ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Munster, IN

Computer Vision Engineer information

See Munster, IN salary details

$47.3K

$118.6K

$134.2K

How much do computer vision engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for computer vision engineer in Munster, IN is $118,586.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,800.00 and $128,300.00 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 cities near Munster, IN are hiring for Computer Vision Engineer jobs?

Cities near Munster, IN with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Munster, IN as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $118,586 per year, or $57 per hour.

Forward Deployed Engineer

Chicago, IL • Remote

David Joseph & Company
See more jobs at David Joseph & Companyexternal

$180K - $250K/yr

Full-time

Medical

Posted 8 days ago

Job description

Remote (US) · ~40–50% travel · Full-time
Compensation: $144K–$200K base ($180K–$250K OTE) + equity

About the Company

Our client is a well-funded, growth-stage computer vision / physical-AI company whose platform is used by more than a million developers and a large share of the Fortune 100, primarily across manufacturing and industrial settings. They help the world's largest companies take vision models from proof-of-concept to real production on the factory floor.

Founded 2019 · ~70 people · Industry: AI, Software Development, Devtools

The Role

You'll take computer vision deployments from proof-of-concept to production at major manufacturing, logistics, and industrial organizations. This is a hands-on, 0-to-1 builder role for someone who thrives in ambiguous, real-world environments — embedding directly with customer teams and shipping production-grade systems that hold up outside the lab.

What you'll be doing

  • Embed with customers on-site (roughly a quarter to half your time) to take validated POCs to first production deployment.
  • Build and configure data pipelines, edge devices, and vision models in real physical environments like factories, warehouses, and construction sites.
  • Act as the field's voice back to Product and Engineering — surfacing the gap between what customers ask for and what they actually need.
  • Write production-grade Python and handle the messy realities of real-world CV: lighting, camera calibration, model drift, and edge hardware limits.
  • Document deployment architectures, write runbooks, and hand off cleanly once customers are running independently.

Tech stack: Python, Docker, Kubernetes, Linux, NVIDIA Jetson, computer vision, ML/MLOps, edge computing, industrial cameras

Requirements
  • Roughly 1–8 years in a forward-deployed, field, solutions-architect, or customer-facing software engineering role. A junior path (1–3 years) works with strong FAANG-tier internships plus time at a leading FDE company, high-growth startup, or in a customer-facing SWE role.
  • Direct ownership of a customer-facing technical deployment end to end — from initial build through customer adoption and post-launch support.
  • Strong Python plus real systems-level experience (Docker, Kubernetes, networking, Linux).
  • Automation, mechanical, or industrial engineers with strong software engineering skills are welcome.
  • A BS in computer science, engineering, or a related technical field.
  • Highly motivated, coachable, and low-ego — eager to learn, open to feedback, and a genuine team player.
  • Able to communicate and build trust with everyone from executives to engineers to floor operators.
  • Willing to travel 40–50% for on-site deployments; a Midwest base (Chicago / Indianapolis area) is strongly preferred.
Nice to Haves
  • Background in manufacturing, logistics, automotive, or robotics/automation.
  • Familiarity with MLOps and CV tooling — model versioning, monitoring, and retraining pipelines.
Why Join
  • Join a company with genuine traction: a platform already used at massive scale by household-name enterprises.
  • Strong, uncapped OTE plus equity and a generous benefits package, including full health coverage and travel, productivity, and AI-tools stipends.
  • Remote-first across the US with optional hubs and a relocation bonus, plus a flexible, async-friendly culture.
  • A career-defining field role where you own real production outcomes for major customers.
Details
  • Location: Remote (US); Midwest strongly preferred (Chicago, Indianapolis, Cleveland); NYC/SF/DC hubs
  • Work policy: Remote with ~40–50% travel for on-site customer deployments
  • Compensation: $144K–$200K base ($180K–$250K OTE) + equity
  • Visa sponsorship: Not available — US work authorization required (US citizen / Green Card)
  • Employment type: Full-time