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.

• 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.

• 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 architectures such 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.

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 .