About
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 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. 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. vacation, 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 status, sexual orientation, gender identity, national origin, age, or disability 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.
Languages
- English
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