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Intern Computer Vision Deep Learning Engineer Jobs in Nashville, TN

Machine Learning Engineer

Nashville, TN · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or ... Execute on the technical vision for development of AI solutions and delivery of AI features to ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Nashville, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

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 ...

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 ...

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 ...

Showing results 21-40

Intern Computer Vision Deep Learning Engineer information

See Nashville, TN salary details

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

As of Sep 9, 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.

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

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

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

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

What cities near Nashville, TN are hiring for Intern Computer Vision Deep Learning Engineer jobs?

Cities near Nashville, TN with the most Intern Computer Vision Deep Learning Engineer job openings:

Software Development Engineer Intern, ROBOTICS - 2027

Nashville, TN • On-site

$100 - $125/hr

Other

Medical, Retirement

Posted 2 days ago

New


Job description

There’s a universe of opportunity at Amazon. At Amazon, your career doesn’t follow a straight line. It accelerates, twists, and challenges you in ways you never expected. From the moment you join, you’re part of something big: building products or services that reach millions and shaping how people live, work, and connect every day. This is where your ideas turn into real impact. You’ll work with world class tools, global platforms, and systems built to operate at an extraordinary scale. You’ll move fast, experiment and launch solutions that matter. With endless opportunities to explore across teams and roles, you’ll learn quickly, apply what you know and discover skills you didn’t know existed. This is an environment designed for builders who want to see the impact of their work in the world. Ready to start your adventure?

What’s in it for you? An internship at Amazon means real responsibility from day one. You’ll build, test, and learn alongside people who want to see you succeed, while making an impact that reaches far beyond campus.

Our Software Development Engineers (SDEs) use modern technology to solve complex problems while seeing their work’s impact first‑hand. The challenges SDEs solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years.

At Amazon, we believe in ownership at every level. As an SDE-I, you'll own the entire lifecycle of your code – from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers.

We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high‑impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.

Amazon internships across all seasons are full‑time positions, and intern/co‑ops should expect to work in office, Monday‑Friday, up to 40 hours per week typically between 8am‑5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work‑day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.

Please note that by applying to this role you would be considered for Software Development Engineer summer intern and spring/fall co‑op roles on various Robotics teams. You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer.

Key job responsibilities
  • Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.
  • Design and develop scalable solutions using cloud‑native architectures and microservices in a large distributed computing environment.
  • Participate in code reviews and contribute to technical documentation.
  • Build and maintain resilient distributed systems that are scalable, fault‑tolerant, and cost‑effective.
  • Leverage and contribute to the development of GenAI and AI‑powered tools to enhance development productivity while staying current with emerging technologies.
  • Write clean, maintainable code following best practices and design patterns.
  • Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on‑call duties.
  • Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.
  • Design, develop and test software components that interact with fulfillment center technologies, such as robotics, material handling equipment, computer vision, and cloud services.
A day in the life

As an SDE intern/co‑op, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns/co‑ops throughout your internship. No matter the location of your internship/co‑op, we give you the tools to own your project and learn in a real‑world setting.

About the team

Learn more about Robotics at Amazon:

https://amazon.jobs/en/teams/amazon-robotics

https://www.aboutamazon.com/news/operations/amazon-robotics-robots-fulfillment-center

https://www.aboutamazon.com/news/operations/amazon-million-robots-ai-foundation-model

Basic Qualifications
  • Are 18 years of age or older
  • Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields
  • Experience with at least one general‑purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
  • Experience with data structure implementation, basic algorithm development, and/or object‑oriented design principles
Preferred Qualifications
  • Experience from previous technical internship(s) or demonstrated project experience
  • Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open‑source projects, and/or version control systems
  • Strong problem‑solving and analytical skills; Excellent written and verbal communication skills
  • Demonstrated ability to learn and adapt to new technologies quickly
  • Basic understanding of software development lifecycle (SDLC)
  • Experience within Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning and Controls, Movement, Autonomous Navigation, Path Planning, or related

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

  • Arlington, VA, USA - 109,395.00 USD Annually
  • Austin, TX, USA - 109,395.00 USD Annually
  • Bellevue, WA, USA - 109,395.00 USD Annually
  • N. Reading, MA, USA - 109,395.00 USD Annually
  • Nashville, TN, USA - 103,955.00 USD Annually
  • North Reading, MA, USA - 109,395.00 USD Annually
  • Seattle, WA, USA - 109,395.00 USD Annually
  • Westboro, MA, USA - 109,395.00 USD Annually
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