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Intern Computer Vision Deep Learning Engineer Jobs in Portland, OR

Intern

Portland, OR · On-site

$16 - $21.25/hr

The goal of the program is to provide each intern with meaningful hands-on experience, industry ... learning in real-world environments. About the Program We offer a broad range of engineering ...

... deep learning and natural language processing tasks - Collaborating with team members to adapt to ... PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation ...

Intern

Portland, OR · On-site

$16 - $21.25/hr

The goal of the program is to provide each intern with meaningful hands-on experience, industry ... learning in real-world environments. About the Program We offer a broad range of engineering ...

Senior Software Engineer

Portland, OR · On-site +1

$129K - $171K/yr

... building computer vision and robotics technology that keeps America's most critical production ... Deep curiosity for all software and systems architecture topics * Expert-level Python programming ...

Senior Software Engineer

Portland, OR · On-site +1

$140K - $175K/yr

... building computer vision and robotics technology that keeps America's most critical production ... Deep curiosity for all software and systems architecture topics * Expert-level Python programming ...

... building computer vision and robotics technology that keeps America's most critical production ... Deep curiosity for all software and systems architecture topics * Expert-level Python programming ...

Software QA Intern

Gresham, OR · On-site

$20.25 - $26.75/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Software QA Intern

Portland, OR · On-site

$20.50 - $26.75/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Software QA Intern

Vancouver, WA · On-site

$20.25 - $26.75/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Doing what's never been done before takes vision, innovation, and the world's best talent. As an ... computer graphics, and revolutionized parallel computing! More recently, GPU deep learning ignited ...

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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 Jul 10, 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:
Senior Machine Learning Engineer, MLOps West Coast

Senior Machine Learning Engineer, MLOps West Coast

Autodesk, Inc.

Portland, OR • On-site

$131K - $235K/yr

Full-time

Re-posted 3 days ago


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

6th of 205 rated software companies


Job description

Job Requisition ID #
26WD96432
Position Overview
The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world.
As a Senior Machine Learning Engineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you will ensure AI-powered experiences meet high standards for reliability, scalability, and operational excellence across Autodesk products. You will build and operate the infrastructure that takes models from development into production, including deployment automation, monitoring, and secure, scalable service integration. You will partner closely with researchers, evaluation engineers, and product teams to translate evaluation requirements into production quality gates, reduce operational risk, and continuously improve model performance in real customer environments.
You will report to a manager in the Model Delivery team within Autodesk Research. This role is based in proximity to our North American west coast offices, including San Francisco, Portland, and Vancouver. We support both in-person, hybrid, and remote work.
Responsibilities
  • Test and Deploy Production Models: Automate model testing and validation. Implement and operate CI/CD pipelines to enable safe, repeatable deployments and rollbacks.
  • Operate Inference Services: Provision and manage backend resources for inference (compute, containers, scaling), and tune performance, reliability, and cost in production.
  • Monitor Model Health and Performance: Define and continuously monitor health and performance metrics for deployed services. Triage issues by severity and drive timely resolution, including incident response and runbooks.
  • REST API Integration: Own end-to-end REST API integration, connecting backend model services to product and platform surfaces through scalable, containerized services.
  • Product Ownership and Cross-functional Collaboration: Work with researchers, evaluation engineers, product managers, and partner engineering teams to deliver production-ready solutions, communicate status and risks, and escalate when needed.

Minimum Qualifications
  • BS or MS in Computer Science, Computer Engineering, or equivalent industry experience.
  • 3+ years of professional software engineering experience building and operating production services.
  • Experience automating testing and deployments using CI/CD, including release workflows that support safe rollouts and rollbacks.
  • Experience building and operating cloud hosted, containerized services (for example Docker and Kubernetes or similar), including provisioning resources and scaling inference workloads.
  • Experience building REST APIs using Python based frameworks (or similar), and integrating backend services with product or platform consumers.
  • Strong software engineering fundamentals: version control, code quality, and writing maintainable, testable software.
  • Strong written communication skills to document architectures, runbooks, and operational processes.

Preferred Qualifications
  • Experience running production ML or LLM inference services, including performance tuning, cost optimization, and capacity planning.
  • Experience with observability tooling and practices (metrics, logging, tracing, alerting) and incident response in an on-call environment.
  • Experience deploying services within an enterprise internal platform environment with standardized pipelines, security controls, and compliance requirements.
  • Familiarity with rate limiting, authentication and authorization, and API security best practices.
  • Familiarity with design, manufacturing, or AEC workflows, and how backend services integrate into CAD/BIM product experiences.
  • Familiarity with Agile or Scrum ways of working.

Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $131,400 and $235,950. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $123,000 and $180,400. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).

What Autodesk employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


Autodesk logo

About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982