What are the responsibilities and job description for the AI Project Intern – Computer Vision position at Newegg?
Purpose of Job
We are seeking a motivated AI Project Intern specializing in Computer Vision to support our warehouse and logistics automation initiatives, with a focus on document analysis and video analysis. This internship provides hands-on experience in applying cutting-edge AI technologies to solve real-world supply chain challenges. The ideal candidate is passionate about computer vision, eager to learn, and excited to collaborate with cross-functional teams in a fast-paced e-commerce environment.
Job Description
Mental Functions: Decisions may affect a work unit or area within a department. May contribute to business and operational decisions that affect the department. This position performs a variety of routine duties within established policies and procedures or by referral to supervisor's guidelines.
Physical Functions: Sitting required 90% of the time. Walking and standing required 5% of the time respectively. No heavy lifting required. Constant keyboarding and telephone usage.
Supervisor Responsibilities
N/A
Language Skills
Must be able to read and understand English
Work Environment
Standard office working environment
Travel Requirements
N/A
We are seeking a motivated AI Project Intern specializing in Computer Vision to support our warehouse and logistics automation initiatives, with a focus on document analysis and video analysis. This internship provides hands-on experience in applying cutting-edge AI technologies to solve real-world supply chain challenges. The ideal candidate is passionate about computer vision, eager to learn, and excited to collaborate with cross-functional teams in a fast-paced e-commerce environment.
Job Description
- Apply computer vision techniques to automate warehouse and logistics workflows, such as:
- Develop and deploy computer vision models for object detection, tracking, and anomaly detection in logistics workflows (e.g., pallet counting, dock monitoring, trailer in/out verification).
- Build and maintain OCR and document understanding pipelines for extracting structured data from BOLs, ASNs, invoices, packing lists, and other logistics PDFs
- Integrate camera-based recognition systems (e.g., license plate recognition, packed item verification, activity recognition) into warehouse operations.
- Collaborate with operations teams to validate AI outputs against real logistics scenarios.
- Assist in developing prototypes, testing models, and refining algorithms to improve accuracy and efficiency.
- Support documentation of processes, findings, and best practices for ongoing projects.
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
- Strong academic or project experience in computer vision, deep learning, or machine learning.
- Familiarity with libraries and frameworks such as OpenCV, TensorFlow, or PyTorch.
- OCR & Document AI: Tesseract, PaddleOCR, LayoutLM, Donut, or commercial services (AWS Textract, Google Vision, Azure Form Recognizer)
- Solid programming skills in Python (preferred) or similar languages.
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills, with the ability to work closely with both technical and operations teams.
- Prior project or internship experience applying AI/ML in logistics, supply chain, or manufacturing environments.
- Knowledge of warehouse management systems or logistics processes.
Mental Functions: Decisions may affect a work unit or area within a department. May contribute to business and operational decisions that affect the department. This position performs a variety of routine duties within established policies and procedures or by referral to supervisor's guidelines.
Physical Functions: Sitting required 90% of the time. Walking and standing required 5% of the time respectively. No heavy lifting required. Constant keyboarding and telephone usage.
Supervisor Responsibilities
N/A
Language Skills
Must be able to read and understand English
Work Environment
Standard office working environment
Travel Requirements
N/A