ZipRecruiter

Log In

1

Intern Computer Vision Deep Learning Engineer Jobs in Portland, OR

Bespoke Labs

Machine Learning Engineer

Gresham, OR · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Vancouver, WA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Portland, OR · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Sulzer AG

Engineering Intern

Portland, OR

$17.75 - $23/hr

This role follows specific instructions and procedures and is designed to provide learning ... Currently pursuing an Associate's or Bachelor's degree in Computer Science, Software Engineering ...

Varsity Tutors

Machine Learning Tutor

Portland, OR · 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 ...

previous pagenext page

Showing results 21-40

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 Aug 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 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 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

AI Accelerator Software Principal Engineer- Framework Integration

Ampere Computing LLC

Portland, OR • On-site

$182K - $273K/yr

Other

Medical, Dental, Vision, Retirement

Re-posted 17 days ago

Job description

Description
Invent the future with us.
Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.
As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and edge applications.
Join us at Ampere and work alongside a passionate and growing team - we'd love to have you apply!
About the Role
As an AI Accelerator Software Principal Engineer - Framework Integration, you will lead the design and delivery of high-performance, low-latency deep learning inference solutions. You'll help advance Ampere's AI software stack by integrating and optimizing popular deep learning frameworks so models can run efficiently across data center and edgeenvironments-meeting the performance and efficiency requirements of next-generation AI workloads.
You will operate at the intersection of software engineering, performance engineering, and hardware-aware optimization, contributing to the full stack from model execution to accelerator-ready kernel performance.
What You'll Achieve:
  • Framework integration for accelerator backends
    Integrate and optimize deep learning frameworks-such as PyTorch, ONNX, and llama.cpp-for the Ampere deep learning accelerator backend, enabling efficient and correct execution across a wide set of model types.
  • End-to-end deep learning performance acceleration
    Go deep into the full software/hardware execution stack, including:
    • inference serving and orchestration
    • framework integration layers
    • compiler and graph/runtime support
    • runtime libraries and user-mode execution paths
    • compute kernel development
    • profiling, benchmarking, and performance tuning
  • Model enablement with quality and speed
    Improve both performance and accuracy for models using popular frameworks, and ensure compatibility with serving ecosystems such as vLLM and SGLang-helping deliver production-ready inference behavior.
  • Hardware/software co-design and optimization
    Partner with hardware and platform teams to co-optimize AI execution for better outcomes:
    • increased throughput
    • reduced latency
    • improved scalability
    • better resource utilization (compute/memory/IO)
    • higher sustained performance under realistic workloads
  • Build state-of-the-art AI software components
    Contribute to the development of software and hardware AI co-processors/accelerators, delivering reusable libraries, optimized execution paths, and robust integration with existing tooling.
  • Cross-functional collaboration
    Work closely with cross-functional teams (compiler/runtime, kernels, platform, and product engineering) to integrate AI capabilities into Ampere's cloud-native processor platforms and accelerators.

About You:
  • Education & experience : BS Computer Science, Computer Engineering, Electrical Engineering, or Software Engineering or related technical field & 8 years of related experience; or MS degree & 6 years; or PhD & 3 years
  • Core framework experience: Strong experience building with or integrating AI frameworks such as PyTorch, llama.cpp, and ONNX.
  • Linux + accelerator/runtime expertise (preferred): Experience with developing user-mode drivers, runtime libraries, or low-level integration for GPUs or deep learning accelerators in Linux is a plus.
  • Strong systems programming & performance skills:
    • Expert in Python and C/C++
    • Strong background in performance profiling and tuning (latency/throughput, memory behavior, kernel efficiency)
  • Deep ML understanding: Solid understanding of AI/ML concepts including neural networks and data processing frameworks. Experience with modern deep model architectures such as Transformers and Diffusion models is preferred.
  • Modern AI tooling fluency (preferred): Fluent with modern AI programming tools such as Codex or Claude Code, and comfortable accelerating development workflows.
What We'll Offer:
At Ampere we believe in taking care of our employees and providing a competitive total rewards package that includes base pay, cash long-term incentive, and comprehensive benefits. The full base pay range for this role is between $182,000 and $273,000, except in the San Francisco Bay Area where the range is between $195,000 and $292,000.
Our benefits include health, wellness, and financial programs that support employees through every stage of life.
Benefit highlights include:
  • Premium medical insurance, dental insurance, vision insurance, as well as income protection and a 401K retirement plan, so that you can feel secure in your health and financial future.
  • Unlimited Flextime and 10+ paid holidays so that you can embrace a healthy work-life balance.
  • A variety of healthy snacks, energizing espresso, and refreshing drinks to keep you fueled and focused throughout the day.

And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our employees to do more and grow more. We are excited to share more about our career opportunities with you through the interview process. Our benefits include health, wellness, and financial programs that support employees through every stage of life.
#LI-Hybrid
#LI-Hybrid #LI-DR
#LI-Hybrid
Ampere is an inclusive and equal opportunity employer and welcomes applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, religion, age, veteran and/or military status, sex, sexual orientation, gender, gender identity, gender expression, physical or mental disability, or any other basis protected by federal, state or local law.

Apply