ZipRecruiter

Log In

1

Intern Computer Vision Deep Learning Engineer Jobs

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

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 ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

$14/hr

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 ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA

$14/hr

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 ...

NBCUniversal

Deep Learning Engineer

Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in ... Engineer or Applied Research Engineer in a fast-paced environment. • Prior experience in ...

next page

Showing results 1-20

All JobsIntern Computer Vision Deep Learning Engineer Jobs

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 Jun 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:
What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs look for? The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs are:
Intern Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Intern Computer Vision Deep Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.
Sr. Computer Vision Engineer (Deep Learning)

Sr. Computer Vision Engineer (Deep Learning)

Harbinger

Mountain View, CA • On-site

$124K - $170K/yr

Full-time

Posted 15 days ago

Job description

Job Summary:
Harbinger is an American commercial electric vehicle (EV) company on a mission to transform an industry starving for innovation. The successful candidate will drive the development and deployment of advanced perception models for Advanced Driver Assistance Systems (ADAS), designing cutting-edge neural network architectures and ensuring reliable deployment on embedded platforms.
Responsibilities:
• Design and implement advanced deep learning architectures to enhance perception capabilities within ADAS systems.
• Maintain and continuously improve existing models by optimizing performance, addressing issues, and refining architecture and algorithms.
• Perform detailed root cause analysis of production issues and develop sustainable, high-quality solutions.
• Optimize model performance with a focus on latency, efficiency, and resource utilization for real-time embedded deployment.
• Integrate and validate deep learning algorithms on automotive-grade hardware and embedded SoCs.
• Collaborate closely with data engineering, data annotation, and platform engineering teams to ensure smooth data flow and seamless model integration.
• Provide regular updates and technical reports on model development, maintenance progress, and performance metrics to management.
Qualifications:
Required:
• 5+ years of professional experience developing, training, validating, and deploying deep learning-based perception models for ADAS or related computer vision applications.
• In-depth understanding of training and inference pipelines, including data loading, augmentation, and loss function design.
• Advanced degree (M.S. or Ph.D.) in Computer Vision, Robotics, Machine Learning, or a closely related discipline, or equivalent industry experience.
• Strong proficiency in Python and a deep understanding of software design principles and development best practices.
• Expertise in PyTorch (preferred) or TensorFlow for large-scale model development and experimentation.
• Practical experience with data pipelines, distributed training, and machine learning experiment management tools.
• Proven ability to work effectively in a collaborative, cross-functional team environment.
Preferred:
• Comprehensive understanding of machine learning algorithms, including classification, regression, and clustering methods.
• Experience deploying and optimizing models for embedded or automotive SoCs (e.g., NVIDIA Drive, TI TDA4, Qualcomm Snapdragon).
• Proficiency in model optimization techniques such as quantization, pruning, and knowledge distillation.
• Doctorate (Ph.D.) in Computer Science, Artificial Intelligence, or related field is a plus.
• Strong programming experience in Python and/or C++ within Linux development environments.
• Familiarity with automotive perception workflows, datasets, and evaluation frameworks (e.g., KITTI, Waymo, Euro NCAP)
Company:
Harbinger is a commercial electric vehicle company that focuses on chassis architecture design. Founded in 2021, the company is headquartered in Garden Grove, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Apply