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Internship Computer Vision Jobs in Chicago, IL (NOW HIRING)

Relevant coursework, internships, co-ops, or hands-on experience is a plus. * Exposure to AutoCAD ... Medical, dental, and vision insurance (with HSA options) * Mental health resources & Employee ...

Survey CAD Technician

Lisle, IL · On-site

$70K - $90K/yr

Relevant coursework, internships, co-ops, or hands-on experience is a plus. * Exposure to AutoCAD ... Medical, dental, and vision insurance (with HSA options) * Mental health resources & Employee ...

Industry leading medical, dental, and vision Insurance (20+ hours per week) * Sick Time Are you ... If you're a Mechanical, Operations, Manufacturing, Industrial, Software, or Computer Science major ...

New

A soon-to-be or recent graduate (class of 2024 or 2025 preferred) with a degree in Computer Science ... Medical, dental, and vision insurance * ???? 401(k) + retirement benefits * ???? Paid time off ...

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Internship Computer Vision information

What is an internship computer vision?

An Internship in Computer Vision involves working on projects related to image processing, machine learning, and AI-driven visual recognition. Interns typically assist in developing algorithms for object detection, image segmentation, and pattern recognition. They may work with deep learning frameworks like TensorFlow or OpenCV to train models on large datasets. This role provides hands-on experience in applying computer vision techniques to real-world problems, preparing interns for careers in AI and machine learning.

What types of projects and daily tasks can I expect during a computer vision internship?

As a Computer Vision intern, you can expect to work on projects involving real-world image and video data, such as developing object detection models, data annotation, and helping improve existing algorithms. Daily tasks often include coding, running experiments, analyzing model performance, and collaborating with data scientists and software engineers. You may participate in team meetings, present your findings, and receive mentorship on best practices in both research and development. This hands-on experience provides a valuable opportunity to build your technical skills and gain insight into how computer vision applications are developed and deployed in industry.

What are the key skills and qualifications needed to thrive in an internship computer vision?

To thrive as an Internship Computer Vision candidate, you should have a solid understanding of image processing, machine learning fundamentals, and proficiency in programming languages such as Python or C++. Familiarity with computer vision libraries like OpenCV, TensorFlow, or PyTorch, as well as coursework or certifications in artificial intelligence, is highly valued. Strong problem-solving skills, willingness to learn, and effective communication abilities are key soft skills that help interns excel. These competencies are essential for contributing to projects, integrating with teams, and adapting to the fast-evolving field of computer vision.

What are the most commonly searched types of Computer Vision jobs in Chicago, IL?

The most popular types of Computer Vision jobs in Chicago, IL are:

What are popular job titles related to Internship Computer Vision jobs in Chicago, IL?

For Internship Computer Vision jobs in Chicago, IL, the most frequently searched job titles are:

What cities near Chicago, IL are hiring for Internship Computer Vision jobs?

Cities near Chicago, IL with the most Internship Computer Vision job openings:

Infographic showing various Internship Computer Vision job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.

Forward Deployed Engineer

David Joseph & Company

Chicago, IL • Remote

$144K - $200K/yr

Full-time

Medical

Posted 12 days ago


Key responsibilities

  • Embed with customers on-site to take validated proof-of-concept deployments to first production deployment.

  • Build and configure data pipelines, edge devices, and vision models in real physical environments.

  • Write production-grade Python code and handle real-world challenges such as lighting, camera calibration, model drift, and hardware limits.


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