Data Scientist Intern at Blue City Technology
Startup
Blue City Technology's mission is to make roads safer, reduce commute times, and cut emissions. We develop software to provide cities with the data to better understand and improve their transportation network.
Blue City Technology's solution is based on deep learning, machine vision, and LiDAR. The data we provide is used to effectively plan the transportation infrastructure of a city, coordinate traffic lights across road networks, and boost pedestrian and cyclist safety.
Our team is comprised of two PhD graduates from CIVE, a post Doc from COMP, and a former ECSE undergrad, all from McGill.
Internship Description
This summer, we'll be working on two major projects: building our safety analysis solution, and improving our algorithm training pipeline. These projects are machine-learning heavy, and will give our Summer Data Scientist an opportunity to build real-world tools alongside our team.
Our safety analysis solution is based on the trajectories of pedestrians, cyclists, and vehicles. Our Summer Data Scientist will collaborate closely with our CTO to incorporate machine learning algorithms, such as gaussian processes and anomaly detection, to develop a surrogate safety analysis tool to correlate near misses with accidents.
Improvement of our training pipeline will maximize the value of our current dataset, and automate the data labeling process. For this project, our Summer Data Scientist will be designing and building the UI and automating the data labeling platform. Again, we'll be applying machine-learning techniques including Bayesian deep learning, maximum likelihood, and semi-supervised learning.
Our ideal Summer Data Scientist has software development experience and research experience. They are comfortable with a remote position, and can effectively communicate their bottlenecks and successes to our small team via Slack, email or phone.
Application Deadline is Sunday May 17th at 11:59 PM EST.
