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Intern Computer Vision Deep Learning Engineer Jobs in Michigan

Kla

Algorithm Engineer

Ann Arbor, MI

$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:

KLA Corporation

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:

Wayve

Machine Learning Engineer, App SW

Detroit, MI · Hybrid

$283K - $381K/yr

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 ...

Mariana Minerals

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 ...

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All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Michigan

Intern Computer Vision Deep Learning Engineer information

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 the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Michigan?

The most popular types of Computer Vision Deep Learning Engineer jobs in Michigan are:

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

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

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

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What cities in Michigan are hiring for Intern Computer Vision Deep Learning Engineer jobs?

Cities in Michigan with the most Intern Computer Vision Deep Learning Engineer job openings:

Intern Computer Vision Deep Learning Engineer jobs near you

Senior Computer Vision AI/ML Engineer (TS/SCI) {S}

Danbury Mission Technologies

Lewiston, MI • On-site

$93K - $128K/yr

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Danbury Mission Technologies is an advanced technologies company serving the U.S. military and intelligence community. The Senior Computer Vision AI/ML Engineer will lead a team in applying AI/ML algorithms to remote sensing problems, focusing on Automatic Target Recognition and Multimodal Data Fusion.
Responsibilities:
• Leading a small team consisting of developers and researchers to implement AI/ML algorithms to solve computer vision problems in remote sensing
• Analyzing and pre-processing large remote sensing datasets
• Researching supervised and unsupervised ATR solutions for remote sensing
• Researching the performance benefits of multimodal data fusion for ATR, under diverse data collection scenarios
• Training, optimizing, and deploying deep learning CV models that provide analysts with actionable insights
• Reviewing relevant publications to understand cutting edge concepts, break down key ideas to government customers, and apply to defense and commercial applications
• Writing technical documentation supporting code, program capabilities and user-guides
Qualifications:
Required:
• BS in machine learning, computer science, computer vision, mathematics, or relevant fields
• Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
• Experience selecting a technical AI/ML approach and then iterating/pivoting as needed to enhance performance
• Experience with Python and any of the following Python machine learning frameworks: PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn / scikit-image, and/or OpenCV
• Experience training wither convolutional-based CV models (e.g. YOLOv3-11, YOLOX) or transformer-based CV models (Vision Transformer, Swin, etc.)
• Effective communicator with the ability to write and present technical reports both internally to the engineering team and externally to customers
• 5+ years of experience, preferably in software development or as a data scientist with 3+ years of developing/training AI/ML models
• Active TS/SCI U.S. Government Security Clearance
Preferred:
• MS or PhD in machine learning, computer science, computer vision, mathematics, or relevant fields
• Experience with Self-Supervised Learning (SSL) and student-teacher approaches (e.g., DINO, knowledge distillation, BYOL)
• Experience with applying AI/ML algorithms to Image Segmentation, Super Resolution, Image Denoising, Image Restoration, and Multi-INT Fusion
• Experience with Graph Convolutional Networks (GCNs) and applying them to CV-based problems
• Experience working with image processing chains for any of the following domains: SAR, EO, and OPIR
• Experience working with datasets of overhead imagery like xView, SpaceNet datasets, Functional Map of the World, xView3, MSTAR, HRSID, CAESAR, DOTA v1/v2, etc.
• Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
• Experience with version control processes and tools for code version control, data version control, and model version control
• Experience with Linux
• Experience with implementing tracking and fusion, and pattern-of-life algorithms
• Experience in application deployment, virtualization, and containerization
• Experience shaping and writing proposals
• Active TS/SCI with a Counter Intelligence (CI) or recent Full-Scope Polygraph (FSP) U.S. Government Security Clearance
Company:
This page is no longer active. Visit ARKA.org. Founded in , the company is headquartered in Danbury, Connecticut, US, , with a team of 501-1000 employees. The company is currently Late Stage.

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