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Intern Computer Vision Deep Learning Engineer Jobs in Santa Clara, CA

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Intern Computer Vision Deep Learning Engineer information

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How much do intern computer vision deep learning engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for intern computer vision deep learning engineer in Santa Clara, CA is $20.01, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $22.60 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 the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Santa Clara, CA?

The most popular types of Computer Vision Deep Learning Engineer jobs in Santa Clara, CA are:

What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Santa Clara, CA?

For Intern Computer Vision Deep Learning Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Santa Clara, CA look for?

The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Intern Computer Vision Deep Learning Engineer jobs?

Cities near Santa Clara, CA with the most Intern Computer Vision Deep Learning Engineer job openings:

Intern Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Intern Computer Vision Deep Learning Engineer job openings in Santa Clara, CA as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $41,617 per year, or $20 per hour.

Deep Learning Research Intern - Multimodal BEV Perception

PlusAI

Santa Clara, CA • On-site

$19 - $65/hr

Full-time, Internship

Retirement

Posted 14 days ago

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
We are seeking a highly motivated Deep Learning Research Intern to join our Perception team, working on Bird's Eye View (BEV) fusion models using multimodal sensor inputs, including camera, LiDAR, and radar. You will support the design and evaluation of scalable perception algorithms that enable 3D scene understanding for autonomous driving, working closely with research engineers on real-world, production-relevant problems.
Responsibilities:
  • Research, prototype, and evaluate BEV-based perception models that fuse camera, LiDAR, and radar inputs.
  • Design and run experiments benchmarking model performance on large-scale autonomous driving datasets using well-defined quantitative metrics.
  • Investigate novel multimodal fusion architectures and techniques to improve accuracy, robustness, and efficiency.
  • Collaborate closely with research scientists and perception engineers to translate findings into production-ready components.
  • Document experiments, results, and insights clearly for the broader research team.
  • Perform work in accordance with the company's Quality Management System (QMS) requirements where applicable.

Required skills
  • Currently pursuing a Ph.D. or Master's degree in AI, Computer Science, Electrical Engineering, Robotics, or a related field.
  • Strong programming skills in Python and experience building deep learning pipelines.
  • Hands-on experience with PyTorch, TensorFlow, or JAX.
  • Solid foundation in computer vision, deep learning, and 3D geometry.
  • Coursework or project experience with LiDAR-based 3D perception or BEV representation models.
  • Understanding of multimodal sensor fusion concepts

Preferred Skills:
  • Prior research or project experience in autonomous vehicle perception, robotics, or related fields.
  • Familiarity with camera, LiDAR, and radar modalities, including synchronization, calibration, and integration in perception pipelines.
  • Experience with distributed training, high-performance computing, or GPU acceleration.
  • Publications or open-source contributions in perception, 3D vision, or multimodal learning.

$19 - $65 a year
Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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