Overview
Summer Internship May – August
Overview
My client 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.
Key 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.
Required Skills & Experience:
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 PIL.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.
Company:
Stelvio Inc.
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
