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Intern Computer Vision Deep Learning Engineer Jobs in Oregon

Data Intern

OR · Remote

$23/hr

Machine Learning Engineer Location: Remote Role Purpose: The Intern will play a vital role in ... Example Responsibilities: * Assist in computer vision and fraud detection projects by contributing ...

OR · Hybrid

$122.40K - $161.30K/yr

... Vision that have put DL into every software solution. Join the team that builds the software to ... Bachelors, Masters, PhD, or equivalent experience in relevant fields (Computer Science, Computer ...

OR · On-site

$139.90K/yr

... Vision that have put DL into every software solution. Join the team that builds the software to ... Bachelors, Masters, PhD, or equivalent experience in relevant fields (Computer Science, Computer ...

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and ... Advanced familiarity with modern computer vision and deep learning architectures, including Vision ...

New

OR · On-site

We are at the forefront of deep learning, computer vision, and computer graphics. This is an ... Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging ...

OR · On-site

$122.40K - $161.30K/yr

... vision? What you will be doing: * Integrate new CUDA features and Runtime abstractions in AI ... What we need to see: * BS, MS, or PhD degree in Computer Science, Computer Engineering, Electrical ...

OR

$104.40K - $143.40K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Doing what's never been done before takes vision, innovation, and the world's best talent. As an ...

... vision? What you will be doing: * Integrate new communication libraries features in AI frameworks ... S. or PHD in Computer Science, or related field (or equivalent experience) with 5+ software ...

OR

$104.40K - $143.40K/yr

More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... D. in Computer Science, Computer Engineering, related field (or equivalent experience). * 4+ years ...

OR · On-site

$122.40K - $161.30K/yr

What we need to see: * BS, MS, or PhD degree in Computer Science, Computer Engineering, Electrical ... Experience profiling and optimizing innovative vision models, generative AI architectures, or ...

OR

$104.40K - $143.40K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Doing what's never been done before takes vision, innovation, and the world's best talent. As an ...

OR · On-site

$104.40K - $143.40K/yr

... equivalent experience) in Computer Science, Computer Engineering, Electrical Engineering ... Experience working with deep learning frameworks such as PyTorch, TensorFlow, JAX, or TensorRT

OR

$122.40K - $161.30K/yr

Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science ... Contribute to Deep Learning Software projects, such as PyTorch, vLLM, and SGLang to drive ...

... computer vision, machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware software integration. May also include the ...

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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:
Data Intern

$23/hr

Other

Posted 8 days ago


Job description

Role Title: Intern

Reporting to: Machine Learning Engineer

Location: Remote

Role Purpose:
The Intern will play a vital role in advancing the company's capabilities in computer vision and fraud detection projects, as well as contributing to research and development initiatives. The incumbent will assist in various tasks related to biometric data collection, algorithm testing, and model validation. Proficiency in Python, along with knowledge of machine learning and MATLAB, is essential for success in this role. Familiarity with AWS, and SageMaker is advantageous.

Example Responsibilities:

  • Assist in computer vision and fraud detection projects by contributing to algorithm testing, model validation, and biometric data collection.
  • Utilize Python, MATLAB, and deep learning libraries such as PyTorch and TensorFlow for image processing and analysis tasks.
  • Collaborate with the research team to implement benchmarking metrics and perform ROC analysis.
  • Ensure accuracy in data collection, labeling, and algorithmic testing by paying meticulous attention to detail.
  • Develop and optimize SQL queries to extract, and analyze data for machine learning model training.
  • Communicate effectively with team members through written and verbal channels to provide updates on project progress and findings.

Experience and Qualifications: 

Availability to start immediately is required.

  • Enrollment in a graduate program in computer science, computer/electrical engineering, or related fields.
  • Proficiency in Python with working knowledge of image processing libraries.
  • Understanding of benchmarking metrics.
  • Attention to detail and ability to adapt and learn quickly in a fast-paced environment.

Great to have Experience and Qualifications:

  • Knowledge of different biometric modalities, eKYC, and presentation attacks.
  • Understanding of databases, cloud computing, and storage, particularly AWS data and ML pipelines such as SageMaker and S3 buckets.

The compensation is $23 per hour.