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Internship Computer Vision Robotics Jobs in Escondido, CA

Jobtailor

Senior Research Data Scientist

San Diego, CA · On-site

$120 - $180/hr

... Robotics, Machine Learning, or a related field, or a Bachelor's with equivalent research or industry experience. * Strong foundation in modern computer vision and deep learning: image classification ...

Cohu

Principal SW Engineer

San Diego, CA · On-site

$138K - $186K/yr

Integrate motion controllers, I/O systems, machine vision, robotics, sensors, barcode readers, and ... Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science ...

Cohu

Senior Software Engineer

San Diego, CA · On-site

$125K - $165K/yr

Integrate motion controllers, I/O systems, machine vision, robotics, sensors, barcode readers, and ... Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science ...

Cohu

Principal SW Engineer

San Diego, CA · On-site

$138K - $186K/yr

Integrate motion controllers, I/O systems, machine vision, robotics, sensors, barcode readers, and ... Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science ...

Cohu

Senior Software Engineer

San Diego, CA · On-site

$125K - $165K/yr

Integrate motion controllers, I/O systems, machine vision, robotics, sensors, barcode readers, and ... Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science ...

Socket.dev

Principal SW Engineer

San Diego, CA · On-site

$180 - $240/hr

Integrate motion controllers, I/O systems, machine vision, robotics, sensors, barcode readers, and ... Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science ...

Qualcomm

Principal Engineer

San Diego, CA · On-site

The role involves developing computer vision algorithms and machine learning methodologies for ... AR/VR, robotics, automotive, IoT. Company : Qualcomm designs wireless technologies and ...

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Internship Computer Vision Robotics information

What is an internship computer vision robotics?

Internship Computer Vision Robotics positions are temporary roles designed for students or early-career professionals to gain practical experience in applying computer vision techniques within robotic systems. Interns in these roles typically work on projects involving image processing, object detection, 3D vision, and integrating visual data into robotic control systems. These internships help candidates build technical skills, gain exposure to real-world robotics challenges, and often require knowledge of programming languages such as Python or C++, as well as familiarity with machine learning frameworks. They are commonly offered by research labs, tech companies, and robotics startups.

What are the key skills and qualifications needed to thrive as an internship computer vision robotics?

To thrive in an Internship Computer Vision Robotics role, you typically need a solid background in computer science, mathematics, and robotics, often supported by coursework or projects in machine learning and image processing. Familiarity with programming languages like Python or C++, and experience using tools such as OpenCV, ROS, and deep learning frameworks (e.g., TensorFlow or PyTorch) are commonly required. Strong problem-solving, teamwork, and effective communication skills set candidates apart in multidisciplinary environments. These skills are essential for developing innovative solutions and collaborating on complex robotics projects.

What types of projects and technologies will I typically work on during an internship in computer vision robotics?

As an intern in computer vision robotics, you will often work on hands-on projects involving tasks like object detection, image segmentation, sensor data processing, or robotic navigation. You may use programming languages like Python or C++, and frameworks such as OpenCV, ROS (Robot Operating System), and TensorFlow or PyTorch for machine learning components. Interns collaborate closely with engineers and researchers, participating in code reviews, testing algorithms on real or simulated robots, and troubleshooting system integration. This role offers exposure to both software development and hardware interaction, providing a comprehensive experience in robotics and computer vision.

What is the difference between Internship Computer Vision Robotics vs Internship Machine Learning?

AspectInternship Computer Vision RoboticsInternship Machine Learning
Required CredentialsRelevant coursework, basic programming skills, familiarity with robotics and vision toolsProgramming skills, math background, familiarity with algorithms and data analysis
Work EnvironmentRobotics labs, hardware integration, software developmentData analysis, software development, research environments
Employer & Industry UsageRobotics companies, research labs, tech firms working on autonomous systemsTech companies, research institutions, AI startups

Internship Computer Vision Robotics focuses on developing systems that enable robots to interpret visual data, combining hardware and software skills. In contrast, Internship Machine Learning emphasizes designing algorithms to analyze data and build predictive models. Both roles require programming knowledge but differ in their application areas and work environments.

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Internship Computer Vision Robotics jobs near you
Infographic showing various Internship Computer Vision Robotics job openings in Escondido, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 22% Part Time, 1% Temporary, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Research Data Scientist

Jobtailor

San Diego, CA • On-site

$120 - $180/hr

Other

Posted 16 days ago

Job description

Responsibilities
  • Research, prototype, and develop state‑of‑the‑art computer vision and deep learning models spanning detection, segmentation, tracking, and vision‑language tasks.
  • Translate recent research into working implementations, reproducing baselines, running ablations, and quantifying practical tradeoffs.
  • Own the full data lifecycle for visual tasks: dataset curation, annotation strategy, augmentation, synthetic data generation, and quality analysis.
  • Collaborate closely with engineering and product teams to move models from prototype to production, including optimization for edge or latency‑constrained environments.
  • Communicate methods, results, and tradeoffs clearly to both technical and non‑technical stakeholders.
Requirements
  • Master’s or PhD in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a related field, or a Bachelor’s with equivalent research or industry experience.
  • Strong foundation in modern computer vision and deep learning: image classification, object detection, segmentation, and tracking across CNNs, Vision Transformers, vision‑language models, and foundation models.
  • Solid grasp of deep learning fundamentals: supervised and self‑supervised learning, representation learning, optimization, loss design, and rigorous model training and evaluation.
  • Demonstrated ability to read, implement, and build on recent research papers, turning literature into working prototypes.
  • Hands‑on experience with real‑world visual data: dataset curation, annotation, augmentation, synthetic data, data‑quality analysis, and low‑data or noisy‑data settings.
  • Strong applied mathematics (linear algebra, probability, statistics, optimization) and proficiency in Python with PyTorch or equivalent deep learning framework.
  • Strong collaboration and communication skills — able to work across research, engineering, and product, and present technical work clearly to mixed audiences.
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