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Intern Computer Vision Deep Learning Engineer Jobs in Detroit, MI

Algorithm Engineer

Ann Arbor, MI · On-site

$105K - $180K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Machine Learning, Deep Learning, and Computer Vision techniques. In this role, you will:

The Role As an ML Engineer within the Application Engineering team, you'll lead critical ... Expert in deep learning (esp. sequential models, control, planning, or perception). * Proficient in ...

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

We're reimagining the minerals supply chain by combining deep industry expertise with advanced ... As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ...

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Mentors and guides engineers within the group. * Bachelor's Degree in Computer Science, Robotics ... Computer Vision & Deep Learning - model training and at least two of: 2D/3D Object Detection ...

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Mentors and guides engineers within the group. * Bachelor's Degree in Computer Science, Robotics ... Computer Vision & Deep Learning - model training and at least two of: 2D/3D Object Detection ...

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Intern Computer Vision Deep Learning Engineer information

See Detroit, MI salary details

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How much do intern computer vision deep learning engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for intern computer vision deep learning engineer in Detroit, MI is $16.87, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.04 per hour, depending on experience, location, and employer.

What does an intern computer vision deep learning engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What are the key skills and qualifications needed to thrive as an intern computer vision deep learning engineer?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.

What types of projects or tasks can I expect to work on as an intern computer vision deep learning engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What is the difference between Intern Computer Vision Deep Learning Engineer vs Intern Machine Learning Engineer?

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Detroit, MI?

For Intern Computer Vision Deep Learning Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Detroit, MI look for?

The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Intern Computer Vision Deep Learning Engineer jobs?

Cities near Detroit, MI with the most Intern Computer Vision Deep Learning Engineer job openings:

Algorithm Engineer

KLA Corporation

Ann Arbor, MI • On-site

$105K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Group/Division
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. Central Engineering is KLA's largest engineering organization comprised of 9 Centers-of-Excellence (CoE) in various disciplines applied across all product groups in the company. These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition, Platform Design, and Packaging Engineering, among others. Talent includes over 500 engineers across global centers in Israel, China, India, and the US. Each CoE contributes not just talent and deliverables per discipline toward product programs, but also subject matter expertise, best practices, roadmaps, specialized facilities, apparatus, models, and analytics. These differentiate KLA not only in WHAT we do, but also in HOW we do it.
Job Description/Preferred Qualifications
KLA is seeking a motivated algorithm engineer to join our algorithm group in the AI & Modeling Center of Excellence in Ann Arbor, MI, USA. In this position, you will bring your academic background and industry experience to develop and integrate algorithms into KLA's innovative reticle inspection platforms. You will contribute technical expertise in a highly collaborative team to research, develop, and deliver production-grade algorithms involving Image Processing, Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision techniques.
In this role, you will:
  • Contribute to novel image processing, signal processing, defect detection and analysis, and optimization algorithms balancing mathematical rigor and computational complexity through comprehensive data analysis
  • Evaluate and productize AI-based, deep learning, and other novel approaches that complement and improve the performance of existing algorithms in the inspection space
  • Explore signal processing algorithms for system-level analysis of imaging data
  • Collaborate with software and computer groups to design and implement data management, model training and inference flows
  • Bring forward creative ideas, develop proof-of-concepts, integrate algorithms into production code, and work with other team members in Ann Arbor and in global project teams

Qualifications
  • PhD Level Degree with foundation in signal/image processing
  • Academic or work experience required in any of the following areas: Signal/Image Processing, Applied Mathematics, Detection, Computational Imaging, Computer Vision
  • Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images, is preferred
  • Experience prototyping Algorithms using MATLAB or Python, and implementing algorithms using full-stack experience with object-oriented programming (OOP/OOD) in C++ under Linux is preferred
  • Familiarity with any of the following is a plus: Linear and Nonlinear Optimization techniques, Statistical Models, CUDA/GPU Programming frameworks, and Data Analysis and Visualization tools
  • Great teammate with excellent written and verbal communication skills.

What will differentiate you:
The ideal candidate will have a strong understanding of and hands-on experience with image processing, computer vision, and related topics in deep learning.
Minimum Qualifications
Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years
Base Pay Range: $105,900.00 - $180,000.00 Annually
Primary Location: USA-MI-Ann Arbor-KLA
KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.