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Intern Computer Vision Deep Learning Engineer Jobs in Portland, OR

Sulzer AG

Engineering Intern

Portland, OR · On-site

$17.75 - $23/hr

This role follows specific instructions and procedures and is designed to provide learning ... Sound computer skills in Word and Excel. Experience with 2D and 3D CAD systems An Interest in ...

Norsk Hydro

Engineering Intern

Portland, OR · On-site

$21/hr

Research and Learning: Conduct research on best practices, technologies, and standards ... Familiarity with CAD is a plus. Strong analytical and problem-solving skills. Ability to work ...

Deloitte

AI Data Engineer - Manager

Portland, OR · On-site

... learning, natural language processing, computer vision) and implement scalable AI solutions. • Collaborate with Enterprise, Application, Data & DevOps teams, Data scientists, Machine Learning ...

Varsity Tutors

Machine Learning Tutor

Portland, OR · Remote

$40/hr

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

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

Must have a Master's degree in Software Engineering, Computer Engineering, and Computer Science and ... Deep Learning Frameworks (TensorFlow, PyTorch) • Lakehouse architecture • Large-Scale Data ...

Deloitte

AI Solutions Architect

Portland, OR

$66.75 - $88/hr

Bachelor's degree in Science, Technology, Engineering, or Mathematics, such as Computer Science ... deep learning, or generative artificial intelligence solutions in production environments

Western Partitions, Inc.

CAD Design Intern

Tigard, OR · On-site

The CAD Design Intern will work alongside WPI's Engineering and Design team, gaining hands-on ... Medical, prescription drug, dental and vision insurance plans with flexible spending account option

Workday

Principal AI Engineer - Evisort

Beaverton, OR

Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or ... Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms ...

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All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Portland, OR

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 Jun 20, 2026, the average hourly pay for intern computer vision deep learning engineer in Portland, OR is $18.07, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $20.38 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.
What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Portland, OR? For Intern Computer Vision Deep Learning Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Portland, OR look for? The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Portland, OR are:
Intern Computer Vision Deep Learning Engineer jobs near you
Senior Software Engineer, CUTLASS Performance

Senior Software Engineer, CUTLASS Performance

Nvidia

Hillsboro, OR

$133K - $175K/yr

Full-time

Posted 18 days ago

Job description

NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since 2017, it has provided the community with C++ and Python abstractions to implement custom matrix multiply (GEMM) and related math and deep learning computations on NVIDIA GPUs.

If you are enthusiastic about performance and eager to help bridge the gap between current performance and what's theoretically possible, apply to join the CUTLASS team today!

What you'll be doing:

  • Benchmark the performance of state-of-the-art deep learning models' inference and training passes to identify key GPU kernel and fusion opportunities.

  • Identify gaps between theoretical and realized performance, and suggest software improvements or model adjustments to resolve them.

  • Develop tooling to automate the benchmarking, analysis, and performance optimization loop to push the limit of CUTLASS kernel performance within DL networks.

  • Be the authoritative resource on kernel performance in the team and engage with teams across NVIDIA including GPU architecture, DL frameworks, and QA as the performance representative for the CUTLASS team.

What we need to see:

  • Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience).

  • 3+ years of relevant industry experience.

  • Strong programming skills in Python and C++.

  • Experience in software performance analysis and optimization.

  • Deep understanding of computer architecture and familiarity with GPUs or similar parallel processing architectures.

Ways to stand out from the crowd:

  • Deep understanding of state-of-the art DL model architectures.

  • Hands-on experience with performance benchmarking of DL frameworks like PyTorch, JAX, SGLang, vLLM, TRT-LLM, or others.

  • Experience in developing performance models and performance regression systems.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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