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Intern Computer Vision Deep Learning Engineer Jobs in Nashville, TN

TheIncLab

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field * 7+ ... Experience with deep learning architectures (CNNs, RNNs, Transformers) * Experience applying ML to ...

TheIncLab

Senior Machine Learning Engineer

Nashville, TN

$100K - $138K/yr

Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field * 7+ ... Experience with deep learning architectures (CNNs, RNNs, Transformers) * Experience applying ML to ...

Accenture

Senior Data Scientist

Nashville, TN · On-site

... deep learning, natural language processing, computer vision, generative AI, and agentic AI ... Partner with business, product, data, engineering, architecture, cybersecurity, legal, privacy ...

Crowe LLP

Machine Learning Engineer

Nashville, TN · On-site

$62K - $100K/yr

Execute on the technical vision for development of AI solutions and delivery of AI features to ... Crowe uses its deep industry expertise to provide audit services to public and private entities ...

Bespoke Labs

Machine Learning Engineer

Nashville, TN · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Local Infusion

Machine Learning Engineer

Nashville, TN · Remote

We're looking for a Machine Learning Engineer to own the intelligence layer of our platform. You'll ... Medical, dental, and vision insurance through our employer plan * Short and long-term disability ...

Skanska USA

Project Engineer Intern

Franklin, TN · On-site

$20 - $23/hr

Whether we are building schools to provide inspiring spaces for learning, roads to connect ... Computer skills (MS Office, HCSS, CGC, etc); * Ability to perform all work in a timely ...

Skanska USA

Project Engineer Intern

Franklin, TN · On-site

$20 - $23/hr

Whether we are building schools to provide inspiring spaces for learning, roads to connect ... Computer skills (MS Office, HCSS, CGC, etc); * Ability to perform all work in a timely ...

Crowe LLP

Machine Learning Intern

Nashville, TN · On-site

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in ... Computer Science Mathematics Natural or Social Sciences Relevant additional backgrounds also ...

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All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Nashville, TN

Intern Computer Vision Deep Learning Engineer information

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

As of Aug 19, 2026, the average hourly pay for intern computer vision deep learning engineer in Nashville, TN is $16.46, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $18.56 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.

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Intern Computer Vision Deep Learning Engineer jobs near you

Research Scientist Intern (2025)

Whiterabbit.ai

Murfreesboro, TN • On-site

Other

Re-posted 28 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

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