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Internship Computer Vision Jobs in Detroit, MI (NOW HIRING)

Has supervisory responsibility for Assistant Engineers, Engineering Assistants, and Interns. The ... Proven written and verbal communication abilities; proficiency with computer applications ...

Controls Engineer

Utica, MI

$76K - $98K/yr

Industrial vision systems/sensors (Cognex, Keyence) * Basic networking knowledge and application ... Bachelor's degree in Electrical Engineering, Associates Degree in Computer Science, Bachelor of ...

Controls Engineer

Utica, MI

$76K - $98K/yr

Industrial vision systems/sensors (Cognex, Keyence) * Basic networking knowledge and application ... Bachelor's degree in Electrical Engineering, Associates Degree in Computer Science, Bachelor of ...

Showing results 41-60

Internship Computer Vision information

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 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 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 Detroit, MI? The most popular types of Computer Vision jobs in Detroit, MI are:
What are popular job titles related to Internship Computer Vision jobs in Detroit, MI? For Internship Computer Vision jobs in Detroit, MI, the most frequently searched job titles are:
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What cities near Detroit, MI are hiring for Internship Computer Vision jobs? Cities near Detroit, MI with the most Internship Computer Vision job openings:

Systems Engineer, Cybersecurity

Torc Robotics

Ann Arbor, MI

$56 - $68.75/hr

Full-time

Posted 3 days ago

New


Job description

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. 
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 
Join us and catapult your career with the company that helped pioneer autonomous technology and the first AV software company with the vision to partner directly with a truck manufacturer. 


Position Overview:
  • We are seeking an enthusiastic, detail-oriented Entry-Level Automotive Cybersecurity Engineer to join our Base Hardware Cybersecurity team. In this role, you will help design, test, and implement secure architectures for next-generation Electronic Control Units (ECUs).
  • You will work closely with cross-functional engineering teams and leading Tier-1 automotive suppliers to ensure our vehicle systems satisfy rigorous automotive security standards (e.g., ISO/SAE 21434, UN R155) throughout the system development lifecycle.
Key Responsibilities:
  • ECU Security Architecture & Implementation: Assist in defining security requirements for hardware and embedded software on automotive ECUs (including Secure Boot, Hardware Security Modules (HSM), cryptographic key management, and secure communication protocols).
  • Supplier Collaboration: Coordinate directly with Tier-1 suppliers to communicate cybersecurity technical requirements, review supplier deliverables, analyze security concepts, and track resolution of technical issues.
  • Threat Analysis & Risk Assessment (TARA): Participate in performing TARAs on vehicle systems and components to identify potential attack vectors, threat scenarios, and risk levels.
  • Protocol & Bus Security: Evaluate and support implementation of security controls on in-vehicle networks, including CAN / CAN-FD, Automotive Ethernet, and LIN (e.g., SecOC / Secure On-Board Communication).
  • Testing & Validation: Perform hands-on security verification, static/dynamic code analysis reviews, and assist with penetration testing or vulnerability scans on bench environments and target hardware.
  • Compliance & Process Support: Ensure engineering activities align with industry cybersecurity frameworks such as ISO/SAE 21434 and UNECE regulations (UN R155 / R156).
Qualifications & Skills
Required Education & Experience:
  • Bachelor's degree in Cybersecurity, Electrical Engineering, Computer Engineering, Computer Science, or a related technical field (or equivalent hands-on project/internship experience).
  • 0 to 2 years of professional or academic/internship experience in cybersecurity, embedded systems, or automotive engineering.
Technical Competencies:
  • Embedded Fundamentals: Basic understanding of embedded systems architecture, microcontrollers, real-time operating systems (RTOS), and C/C++ programming.
  • In-Vehicle Networks: Familiarity with automotive communications protocols such as CAN, CAN-FD, LIN, or Automotive Ethernet.
  • Core Security Concepts: Solid understanding of symmetric/asymmetric cryptography, hashing, public key infrastructure (PKI), and secure boot mechanisms.
  • Communication: Strong verbal and written communication skills to articulate technical requirements to Tier-1 suppliers and cross-functional teams.
Preferred / Bonus Qualifications:
  • Familiarity with automotive security standards (ISO/SAE 21434, AUTOSAR SecOC, UN R155/R156).
  • Hands-on experience with hardware/firmware debugging tools (e.g., Vector CANoe, logic analyzers, oscilloscope, or JTAG debuggers).
  • Relevant entry-level certifications or training (e.g., CompTIA Security+, CEH, or coursework/certifications specific to embedded or automotive security).