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Intern Computer Vision Deep Learning Engineer Jobs in Portland, OR

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

Sulzer AG

Engineering Intern

Portland, OR

$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 ...

Intel

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR · On-site +1

$195.20K - $275.58K/yr

Collaborate with top experts in deep learning, HPC, compilers, and systems optimization ... BSc, MSc or PhD in Mathematics, Physics, Computer Science or in a related field * 5+ years of ...

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 ...

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 ...

Apex Fintech Solutions

PCEP Intern

Portland, OR

$16 - $21.25/hr

You're part of a global team with a clear vision: to be the trusted technology that powers the ... Currently pursuing a BA, BS, MS, PhD degree in Computer Science, Engineering or related technology ...

New

Intel

Density Fill Development Engineer Intern

Hillsboro, OR · On-site

$92.80K - $125.50K/yr

Minimum Qualifications: - Currently pursuing a master's degree in Electrical Engineering, Computer ... We encourage you to apply and be part of a collaborative environment that fosters learning, growth ...

NetSPI

Software Engineer Intern

Portland, OR · On-site +1

... on deep dive testing that uncovers vulnerabilities others miss. Trusted by the top 10 U.S. banks ... We are excited to welcome a Software Engineer Intern! Internship details: Timing: July 6th, 2026 ...

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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

See Portland, OR salary details

$9

$18

$25

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

As of May 30, 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 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 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 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 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 AI Algorithm Engineer in oneDNN

Senior AI Algorithm Engineer in oneDNN

Intel Corporation

Hillsboro, OR • On-site

$195.20K - $275.58K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 26 days ago

Intel rating

8.8

Company rating: 8.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

9th of 137 rated electronics manufacturers

Job description

Job Details:
Job Description:
The Software and AI (SAI) organization is seeking a highly skilled Software Development Engineer to contribute to the development and optimization of oneDNN, a complex, cross-platform, open-source performance library for deep learning applications (https://github.com/uxlfoundation/oneDNN).
oneDNN is a critical and highly visible component of Intel's AI strategy, powering industry-leading frameworks such as OpenVINO, TensorFlow, PyTorch, ONNX Runtime, and many others.
This is a unique opportunity to work at the intersection of AI algorithms, low-level performance engineering, and cutting-edge Intel hardware, enabling state-of-the-art neural network performance across CPUs, integrated graphics, and discrete GPUs.
Responsibilities
  • Design, develop, and optimize new features and algorithms for oneDNN targeting Intel processors, Intel Processor Graphics, and Intel discrete GPUs.
  • Perform performance analysis and optimization to achieve best-in-class deep-learning inference and training throughput on current and next-generation Intel platforms.
  • Develop hardware-specific parallel algorithms, including multithreading, vectorization, and memory-layout optimizations.
  • Contribute to assembly-level programming and low-level performance tuning for Intel microarchitectures.
  • Collaborate with cross-functional teams across software engineering, architecture, and AI performance to ensure strong integration with Intel's broader AI ecosystem.
  • Engage with the open-source community, participate in code reviews, and maintain high-quality coding and documentation standards.

Why Join Us
  • Work on a global, high-impact open-source AI project used across leading deep-learning frameworks.
  • Influence AI performance across Intel's full hardware roadmap, from CPUs to GPUs.
  • Collaborate with top experts in deep learning, HPC, compilers, and systems optimization.
  • Contribute to technology adopted by millions of developers worldwide.
  • Engage with a highly visible open-source product and the latest Intel hardware generations.
  • Enjoy a safe, flexible, and supportive work environment-remote or onsite-focused on employee well-being.
  • Benefit from flexible working hours.
  • Access a comprehensive benefits package: stock program, annual and quarterly bonuses, pension plan, medical and life insurance for you and your family, peer-to-peer recognition, meal card, Multisport card, holiday card, employee discounts, events, and more.

Qualifications:
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
  • BSc, MSc or PhD in Mathematics, Physics, Computer Science or in a related field
  • 5+ years of experience in the following areas:
    • C++
    • Algorithms and data structures, or Mathematical background
    • Low-level Performance Optimizations, preferably on GPUs

Preferred Qualifications:
  • 3 years+ High-performance computing (HPC) applications development
  • 1 year+ Machine learning and deep learning algorithms
  • 1 year+ Agile software development environment
  • 1 year+ Intel development tools.
  • Software libraries design and architecture
  • Background in Linear algebra solvers, matrix-vector operations, or Fast Fourier Transforms
  • Software development on Linux
  • GPU optimizations (OpenCL, CUDA, SYCL/DPC++, C for Metal or similar)
  • Parallel programming (OpenMP, TBB, or MPI)

Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
US, California, Santa Clara
Business group:
Silicon and Platform Engineering Group (SPE): Deliver breakthrough silicon and platform solutions that deliver industry-leading products today while also defining the next generation of computing experiences.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $195,200.00-275,580.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

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Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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