Machine Learning Engineer Intern

Overview
We are seeking a Machine Learning Engineering Intern (preferably graduate level) to join our forward-thinking team building the next generation of Intelligent Transportation Systems. In this role, you will work alongside experienced engineers and researchers to design, develop, and evaluate computer vision models used in real-world, scalable applications.
You’ll gain hands-on experience with large-scale image and video data, contribute clean and modular code to shared repositories, and help advance production-focused machine learning systems. As part of our AI team, you’ll collaborate closely across disciplines while learning best practices in applied computer vision and MLOps.
Responsibilities

• Train, and evaluate computer vision and deep learning models for tasks such as image classification, object detection, tracking, and OCR, under guidance from senior team members.
• Prepare and analyze image and video datasets, including data augmentation, labeling strategies, and feature extraction.
• Contribute to machine learning repositories by improving and extending CNN- and transformer-based pipelines, following clean coding standards.
• Assist with data annotation and quality assurance for image and video datasets, supporting model training and evaluation.
• Collaborate with engineering teams to integrate computer vision components into production systems.
• Stay current with academic and industry research, exploring and prototyping new approaches when relevant.
  

This list of responsibilities might not cover everything you'll end up doing.
Qualifications

• Currently pursuing a Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Strong foundation in machine learning and computer vision, with exposure to deep learning methods.
• Familiarity with image processing tools such as OpenCV and
• Experience with computer vision architecturessuch as CNNs and ViT models.
• Proficiency in Python Language and experience with deep learning frameworks such as PyTorch or Tensorflow.
• Working knowledge of software engineering best practices, including clean code and version control (e.g., Git).
• Strong analytical skills, curiosity, and enthusiasm for applied research and real-world machine learning systems.
  

Benefits
We offer a Total Rewards plan designed with you and your family’s health and wellness in mind that includes:

• Paid days off ( i. e. vacatio n, sick days, bereavement leave)
• Health and Dental plans
• Retirement plans
• Employee and Family Assistance Program (EFAP)
• Employee referral program
  

We welcome applicants from all backgrounds, regardless of race, color, religion, sex, veteran sta tus, sexual orientation, gender identity, national origin, age, or disabilit y or any other protected characteristics in accordance with applicable federal, state/provincial, and local laws . We 're committed to creating a workplace where everyone feels valued and respected.
We appreciate all responses and will acknowledge only those being considered for an interview .
We respectfully request no calls or unsolicited resumes from Agencies .