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Intern Computer Vision Deep Learning Engineer Jobs in California

XPENG

Senior Computer Vision Engineer

Santa Clara, CA · On-site

$143.80K - $189.60K/yr

We are seeking a talented Computer Vision / Machine Learning Engineer to develop and optimize multi ... with deep learning frameworks (e.g., PyTorch, TensorFlow) and computer vision libraries (e.g ...

Zensors

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126.70K - $166.10K/yr

As a Machine Learning Engineer in ML Runtime & Optimization , you will develop technologies to ... Work in Computer Vision , Deep Learning, and Vision Transformers. * Experience with video ...

Skydio, Inc

Autonomy Engineer - Deep Learning

San Mateo, CA · On-site

$170K - $277.50K/yr

As a Deep Learning Engineer, you will be responsible for training and deploying optimized models to ... Design, implement, and deploy computer vision and multimodal deep learning models for Skydio ...

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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 California? The most popular types of Computer Vision Deep Learning Engineer jobs in California are:
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What cities in California are hiring for Intern Computer Vision Deep Learning Engineer jobs? Cities in California with the most Intern Computer Vision Deep Learning Engineer job openings:
Intern Computer Vision Deep Learning Engineer jobs near you
Senior Software Engineer, Computer Vision and Deep Learning

Senior Software Engineer, Computer Vision and Deep Learning

Mashgin

Palo Alto, CA • On-site

$144.20K - $190.10K/yr

Full-time

Posted 13 days ago

Job description

Job Summary:
Mashgin is a company that powers the world's best checkout experience for over 40 million users through advanced AI technology. They are seeking a passionate Computer Vision engineer to design and implement cutting-edge algorithms that will enhance their product offerings.
Responsibilities:
• Developing new computer vision algorithms with founders in C/C++ and Python for solving challenging real-world problems
• Coming up with large scale data collection techniques for training Deep Neural Nets
• Driving the development of new algorithms that dramatically improve our existing methods
• Researching and maintaining state-of-the-art ML/CV algorithms that can analyze images
• Coding full-stack building products from end to end
Qualifications:
Required:
• 8+ years relevant coding experience
• Masters degree in Computer Science or related field
• Strong background in Computer Vision
• Exposure to new Deep Learning techniques for image recognition
Preferred:
• MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field
• Experience with Python or C/C++ in a Linux environment
• Knowledge and experience in application of Deep Learning to Computer Vision problems
• Real-world experience building Computer Vision systems
Company:
Mashgin is a software company that makes AI and computer vision checkout systems. Founded in 2014, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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