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Object Detection Intern Jobs (NOW HIRING)

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7K - $10K/mo

Design and implement multi-modality and multi-task perception models focusing on 3D object detection and tracking, segmentation, semantics understanding, video understanding, scene understanding ...

pony.ai

Research Intern - Deep Learning

Fremont, CA

$7K - $10K/mo

Design and implement multi-modality and multi-task perception models focusing on 3D object detection and tracking, segmentation, semantics understanding, video understanding, scene understanding ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7K - $10K/mo

Design and implement multi-modality and multi-task perception models focusing on 3D object detection and tracking, segmentation, semantics understanding, video understanding, scene understanding ...

Pony.ai

Research Intern - Deep Learning

Fremont, CA

$7K - $10K/mo

Design and implement multi-modality and multi-task perception models focusing on 3D object detection and tracking, segmentation, semantics understanding, video understanding, scene understanding ...

Hayden AI

Deep Learning Engineer II

San Francisco, CA · On-site

$161K - $175K/yr

... Graduate Student, Summer Intern or a related deep learning engineer role. OTHER SPECIAL ... object detection, semantic segmentation, and urban scene understanding; leveraging large ...

DeLallo Foods

Production Assistant

Penn, PA

$14.25 - $18.50/hr

Collect, ensure accuracy, scan and file Foreign Object & Corrective Action Sheets, Metal Detection ... Intern DevelopmentTEAM MEMBER PERKSReferral ProgramOn-Line Purchase DiscountFounded in 1950, the ...

DeLallo

Production Assistant

Penn, PA

$14.25 - $18.50/hr

Collect, ensure accuracy, scan and file Foreign Object & Corrective Action Sheets, Metal Detection ... Individualized Intern Development TEAM MEMBER PERKS * Referral Program * On-Line Purchase Discount ...

DELALLO GROUP

Production Assistant

Penn, PA · On-site

$14.25 - $18.50/hr

Collect, ensure accuracy, scan and file Foreign Object & Corrective Action Sheets, Metal Detection ... Individualized Intern Development TEAM MEMBER PERKS * Referral Program * On-Line Purchase Discount ...

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Object Detection Intern information

What does an Object Detection Intern do?

An Object Detection Intern typically assists in developing and testing machine learning models that identify and locate objects within images or videos. They work with datasets, annotate images, train neural networks, and evaluate model performance using metrics like precision and recall. Interns often collaborate with data scientists and engineers to improve algorithms and deploy real-time object detection systems. This role helps interns gain hands-on experience with computer vision tools and deep learning frameworks such as TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as an Object Detection Intern, and why are they important?

To thrive as an Object Detection Intern, you need a solid background in computer vision, machine learning, and programming languages like Python, often supported by coursework or a related degree. Familiarity with frameworks such as TensorFlow, PyTorch, and OpenCV, as well as experience with object detection models like YOLO or Faster R-CNN, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you stand out in collaborative research and development environments. These competencies are crucial for building accurate models, efficiently solving technical challenges, and contributing meaningfully to the team's projects.

What are the typical projects and tasks an Object Detection Intern might work on during their internship?

As an Object Detection Intern, you will typically work on tasks such as annotating and preprocessing datasets, training and evaluating deep learning models (like YOLO or Faster R-CNN), and experimenting with different architectures to improve detection accuracy. You'll often collaborate closely with data scientists, machine learning engineers, and software developers to integrate your models into larger systems. Interns may also be involved in error analysis and iterative model improvement, providing hands-on experience with the full machine learning workflow in a collaborative, fast-paced environment.
Infographic showing various Object Detection Intern job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 58% Full Time, 35% Part Time, 3% Temporary, and 3% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.

Perception Intern

Mitsubishi Electric Automotive America

Detroit, MI

$14.75 - $19.75/hr

Other

Posted 27 days ago

Job description

Known for our innovative components, Mitsubishi Electric Automotive America manufactures autonomous-ready infotainment and ADAS solutions, premium audio systems, high-definition displays, and powertrain electronics for standard, electric, and hybrid vehicles. Since 1979 we have served the major automotive, heavy-duty truck, and coach manufacturers across the US, and continue to grow each year!   Be a part of a select team that is making a real impact on the automotive mobility of tomorrow! 

Summary

Work closely with experienced professionals in their chosen field to apply what is learned in the classroom to real-life work situations. Under supervision, they will assist team members or directly perform day-to-day departmental functions and projects. They will gain an enhanced understanding of their field and the automotive manufacturing industry, laying the foundation for a successful career. 
 

Responsibilities
  • Research, benchmark, and test implementations of state-of-the-art deep learning models for LiDAR-based object detection and segmentation.
  • Assist in improving LiDAR detection performance, particularly for complex surfaces, through literature review and experimental evaluation.
  • Support the implementation and evaluation of deep learning models for LiDAR point clouds (e.g., PointNet, PointNet++, and other 3D architectures).
  • Contribute to the development and assessment of perception algorithms that combine LiDAR and camera data under supervision.
  • Help collect, preprocess, and analyze camera and LiDAR data for model development and testing.
  • Experiment with open-source toolkits such as Open3D and PCL for point cloud processing and visualization.
  • Assist in creating scripts and small pipelines for data preparation and result analysis (using Python, NumPy, OpenCV, etc.).
  • Participate in code reviews, documentation, and team meetings to learn best practices in research and development.
  • Stay current with recent advancements in LiDAR perception and deep learning by reading and summarizing relevant scientific papers.

The above description represents the most significant essential duties of this position but does not exclude other occasional work assignments not mentioned.

Qualifications
  • Current enrollment in a Bachelor's, Master's, or Ph.D. program in Computer Science, Electrical Engineering, Robotics, or a related field.
  • Coursework or project-based experience in computer vision, deep learning, or robotics.
  • Familiarity with at least one deep learning framework (e.g., PyTorch or TensorFlow).
  • Understanding of fundamentals in data analysis, 3D geometry, and point cloud processing.
  • Exposure to LiDAR data and/or related libraries (Open3D, PCL).
  • Programming experience in Python. Familiarity with C++ is an advantage.
  • Ability to conduct literature surveys and summarize technical concepts accessibly.
  • Strong problem-solving and communication skills, and enthusiasm for hands-on learning in a collaborative team environment.

To the extent that such laws prohibit discrimination and harassment, MEAA shall not discriminate against any applicant, associate, vendor, contractor, customer, or client on the basis of age, race, color, religion, creed, ancestry, national origin, citizenship status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, marital status, physical or mental disability, medical condition (as defined by applicable law), genetic information, military or veterans' status or any other basis prohibited by law. 
Click here to view the EEO is The Law Poster and the supplement.  
Applicants with a disability who need assistance with the application process may contact Human Resources by email at employment@meaa.mea.com or by calling 1-800-275-5077.

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