1

Intern Computer Vision Deep Learning Engineer Jobs

$33K - $44K/yr

Contribute to deep learning and computer vision projects Help build, test, and optimize computer ... Data Science Intern - Computer Vision We're seeking a Data Science Intern to support innovative ...

About Matroid Matroid is a full-service computer vision company that has developed an end-to-end ... We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the ...

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

About Matroid Matroid is a full-service computer vision company that has developed an end-to-end ... We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the ...

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D ...

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Description Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to ...

... deep learning architectures for computer vision in agricultural environments * Own model ... Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact ...

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning ... Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact ...

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning ... Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact ...

As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for ... for computer vision in agricultural environments • Own model optimization and deployment ...

As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for ... for computer vision in agricultural environments • Own model optimization and deployment ...

next page

Showing results 1-20

Intern Computer Vision Deep Learning Engineer information

See salary details

$8

$17

$24

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

As of Jul 9, 2026, the average hourly pay for intern computer vision deep learning engineer in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

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 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 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, and why are they important?

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.
More about Intern Computer Vision Deep Learning Engineer jobs
What cities are hiring for Intern Computer Vision Deep Learning Engineer jobs? Cities with the most Intern Computer Vision Deep Learning Engineer job openings:
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs? The most popular types of Computer Vision Deep Learning Engineer jobs are:
What states have the most Intern Computer Vision Deep Learning Engineer jobs? States with the most job openings for Intern Computer Vision Deep Learning Engineer jobs include:
Infographic showing various Intern Computer Vision Deep Learning Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.
Intern

$33K - $44K/yr

Full-time

Posted 22 days ago


Dana-Farber Cancer Institute rating

8.3

Company rating: 8.3 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

We're Hiring: Data Science Intern - Computer Vision We're seeking a Data Science Intern to support innovative work in deep learning and computer vision. This is an exciting opportunity to contribute to real-world computer vision pipelines, explore advanced ML approaches, and help develop solutions with meaningful impact. In this role, you will: Contribute to deep learning and computer vision projects Help build, test, and optimize computer vision and ML pipelines Evaluate new libraries, benchmark models, and develop prototypes Collaborate with scientists and cross-functional teams to deliver results and improve speed, quality, and scalability
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
We're Hiring: Data Science Intern - Computer Vision We're seeking a Data Science Intern to support innovative work in deep learning and computer vision. This is an exciting opportunity to contribute to real-world computer vision pipelines, explore advanced ML approaches, and help develop solutions with meaningful impact. In this role, you will: Contribute to deep learning and computer vision projects Help build, test, and optimize computer vision and ML pipelines Evaluate new libraries, benchmark models, and develop prototypes Collaborate with scientists and cross-functional teams to deliver results and improve speed, quality, and scalability Qualifications: Strong foundation in AI, deep learning, and computer vision Python experience required; R is a plus Excellent communication and problem-solving skills Ability to work independently and adapt in a fast-paced environment Experience in areas such as Transformers, Vision Transformers, generative models, self-supervised learning, MLOps, Docker, Kubernetes, Databricks, and Snowflake is a plus. If you're excited to help build and advance deep learning-powered computer vision pipelines, we'd love to hear from you. Send your resume to alexander_chowdhury@dfci.harvard.edu. #Hiring #Internship #DataScience #ComputerVision #DeepLearning #MachineLearning #AI #Python #MLOps
At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.
EEO Poster
Pay Transparency Statement
The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications.
For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).
$33,300.00 - $44,400.00

What Dana-Farber Cancer Institute employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Dana-Farber Cancer Institute logo

About Dana-Farber Cancer Institute

Sourced by ZipRecruiter

Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

Boston, MA, US

Year founded

1947