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Intern Computer Vision Deep Learning Engineer Jobs in Oregon

OR · On-site

$104.40K - $143.40K/yr

GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve ... Computer Engineering, or a related technical field. * 2+ years of technical leadership ...

Algorithm Engineer III Senior - (E3)

Portland, OR · On-site +1

$140K - $192.50K/yr

... and Computer Vision Machine/Deep learning. Create innovative products and see them launched and ... At least 3 years of experience in Python or C++ programming for complex SW systems. Experience ...

OR

$129.40K - $175.80K/yr

Excellent C/C++ programming and debugging skills. * Experience with parallel programming models ... Deep understanding of operating systems, computer and system architecture. * Solid in fundamentals ...

OR · Hybrid

$54.50 - $72/hr

... Engineer, Artificial Intelligence! Would you enjoy researching parallel algorithms to accelerate AI ... of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender ...

Senior Developer Technology Engineer - AI

Hillsboro, OR · Hybrid

$59.25 - $78.50/hr

... Engineer, Artificial Intelligence! Would you enjoy researching parallel algorithms to accelerate AI ... of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender ...

Strong Python programming skills * Familiarity with containers, numeric libraries, modular software ... computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...

OR · On-site

$122.40K - $161.30K/yr

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... D. in Computer Science, Computer Engineering, related field or equivalent experience * 3+ years of ...

OR · On-site

Ph.D. student in computer science, mathematics, statistics, economics, or related areas. * Strong programming (Python, Golang) and algorithmic skills. * Solid foundations in machine learning ...

Machine Learning & Operations Engineer

Corvallis, OR · Remote

$72K - $97.40K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Experience with motion capture or computer vision systems * Familiarity with experiment tracking ...

Master's degree in Computer Science, Machine Learning, Data Science, or a related field. A Bachelor ... Specific vision abilities required by this job include close vision, color vision, peripheral ...

OR · On-site

$122.40K - $161.30K/yr

... computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ... NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and ...

OR

$122.40K - $161.30K/yr

... computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ... NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and ...

$32 - $40/hr

... Computer Science) with preference of a PhD. * Demonstrated interest or experience in AI, healthcare ... Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ...

OR · On-site

$122.40K - $161.30K/yr

... computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ... NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and ...

OR · On-site

$122.40K - $161.30K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... We are looking for an AI & Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for ...

OR

$125.40K - $172.80K/yr

Strong programming skills in Python and proficiency with major deep learning frameworks. * Familiarity with C++ for model deployment and integration in safety-critical systems. * Master's degree (or ...

... computer science, Machine Learning, Electrical Engineering, or related field • 5+ years of ... experience in machine learning, data science, or AI engineering • Strong programming skills in ...

... computer science, Machine Learning, Electrical Engineering, or related field • 5+ years of ... experience in machine learning, data science, or AI engineering • Strong programming skills in ...

... in computer science, Machine Learning, Electrical Engineering, or related field 5+ years of ... experience in machine learning, data science, or AI engineering Strong programming skills in Python ...

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Intern Computer Vision Deep Learning Engineer information

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 the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Oregon? The most popular types of Computer Vision Deep Learning Engineer jobs in Oregon are:
What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Oregon? For Intern Computer Vision Deep Learning Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Oregon look for? The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Oregon are:
What cities in Oregon are hiring for Intern Computer Vision Deep Learning Engineer jobs? Cities in Oregon with the most Intern Computer Vision Deep Learning Engineer job openings:
Senior Machine Learning Engineer, Perception - Autonomous Driving

Senior Machine Learning Engineer, Perception - Autonomous Driving

Nvidia

On-site

$104.40K - $143.40K/yr

Full-time

Posted 14 days ago


Job description

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.

We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA's autonomous driving solutions. As a member of our perception team, you will be driving E2E solutions for perception modules that are responsible for online mapping - including road layouts, lane structures, boundaries, crosswalks, and other traffic components critical for driving without reliance on HD maps. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime.

What You'll Be Doing:

  • Designing end2end solutions for Perception and AV stack to enable road network detections across various driving environments from complex intersections to rural curvy roads to multi-level highways.

  • Applied research and development of innovative deep learning models for lane graph construction, road boundary detection, traffic element recognition, and other static-world tasks.

  • Develop generalizable approaches to support diverse ODDs and Country/region expansion

  • Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, labeling efficiency optimization, so that value of data is maximized

  • Leverage data simulation and augmentation for solving extreme scenarios

  • Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness.

What We Need to See:

  • Minimum Requirement: PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.

  • 2+ years of technical leadership demonstrating high technical and organizational complexity is a big plus.

  • Hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch).

  • Experience in data-driven development and collaboration with data and ground truth teams.

  • Strong programming skills in python and/or C++.

  • Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other.

Ways to Stand Out from the Crowd:

  • Proven expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras.

  • Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications.

  • Proven expertise in deep learning backed up by technical publications in leading conferences/journals.

  • Expertise with Transformers, BEV architectures, and modern static-world perception techniques.Experience in working on similar online mapping and complex road detection problems is a big plus.

Intelligent machines powered by AI are no longer science fiction. GPU Deep Learning has made it possible for self-driving cars to learn, perceive, and reason about the world. NVIDIA GPUs power the algorithms that enable both static world understanding and scalable perception across global road systems. Join us and help define the future of reliable, data-driven autonomous driving.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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