ZipRecruiter

Log In

1

Embedded Machine Learning Internship Jobs in Escondido, CA

Cesna Recruitment

Computer Vision R&D Engineer

San Diego, CA · On-site

$110/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Machine Learning, such as CNN/deep learning, shallow learning and their optimizations for efficient implementation on embedded systems - Algorithm optimization for efficient processing, exploiting ...

previous page

Showing results 41-60

All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Escondido, CA

Embedded Machine Learning Internship information

See Escondido, CA salary details

$26.7K

$44.6K

$92.1K

How much do embedded machine learning internship jobs pay per year?

As of Aug 15, 2026, the average yearly pay for embedded machine learning internship in Escondido, CA is $44,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $48,200.00 per year, depending on experience, location, and employer.

What is an embedded machine learning internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an embedded machine learning internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an embedded machine learning intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.

What job categories do people searching Embedded Machine Learning Internship jobs in Escondido, CA look for?

The top searched job categories for Embedded Machine Learning Internship jobs in Escondido, CA are:

What cities near Escondido, CA are hiring for Embedded Machine Learning Internship jobs?

Cities near Escondido, CA with the most Embedded Machine Learning Internship job openings:

Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Escondido, CA as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $44,589 per year, or $21.4 per hour.

Computer Vision R&D Engineer

Cesna Recruitment

San Diego, CA • On-site

$110/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

[About Our Client]

The company, founded in 2002 in Seoul, South Korea, is the world leader in 3D measurement and inspection technology used in the production of micro-electronics assemblies. Using patented 3D technology, the company provides best-in-class products in Solder Paste Inspection(SPI) and Automated Optical Inspection(AOI) for electronics manufacturers worldwide.

[Job Summary]

We are seeking an Intermediate Computer Vision R&D Engineer to join our team. The candidate will be part of the core team of computer vision engineers. We will be developing new product lines, including quality inspection systems in many different industries, medical equipment, as well as other exciting applications which use 3D imaging technologies and Machine Learning.

As a computer vision engineer, you will be using cutting-edge vision and AI algorithms to integrate into robotics systems designed by worldwide teams of software, mechatronics, electronics, physics and optics engineers. (interdisciplinary and collaboration)

[Job Description]

- Research and develop scalable and cutting-edge computer vision for 3D reconstruction, 2D/3D imaging technologies, camera calibration, object detection, image processing, denoising, segmentation and metrology.

- Research, develop and employ machine learning algorithms for solving difficult and exciting challenges.

- Engineer solutions for quality inspection equipment, medical equipment, and more.

- Design, implement, and deploy full-stack machine vision/image-based and machine learning solutions, using C++ and Python.

- Participate in weekly "Group Genius" activities, where all members take the lead and create ideas, with the mindset that innovation can happen by anyone and anywhere.

- Performs other duties as assigned

Requirements

[Qualifications]

- Master's degree required

- Ph.D preferred

- Experience to Research and Develop to Classical Computer Vision Algorithm

- Experience to Research and Develop Machine Learning

- Experience to Deploy CUDA processing

- C++ code optimization in performance-wise to image processing

- Experience with at least of the programming language C++ / Python / CUDA

- - Able to work in US without any Work Visa sponsor/transfer/Extension/ support, now and future

Have at least one of the followings:

- Computer Vision algorithms and applications, such as 3D reconstruction(structured light, multi-view geometry, etc), object detection, recognition, image processing, and their optimizations for efficient implementation.

- Machine Learning, such as CNN/deep learning, shallow learning and their optimizations for efficient implementation on embedded systems

- Algorithm optimization for efficient processing, exploiting parallelism, and GPU

- Experienced in use of Machine learning and computer vision frameworks and libraries such as Tensorflow, Pytorch, Caffe, Torch, OpenCV, etc (>2years)

- C++ programming skills, preferably in an embedded environment with GPU and familiar with UML

Benefits

- No Visa Sponsor

- Salary range : $110-160K

- Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage)

- 401(k) retirement plan (Immediately 100% vested)

- Generous PTO and paid holidays

Apply