Company Overview
Come join a higher calling and find a deeper purpose!
As a multi-national Artificial Intelligence Technology Company, we are at the epicenter of the Autonomous Vehicle Universe. Our breakthroughs are leading the industry in autonomous trucking.
While inventing the framework of Autonomous Driving, our current fleet of autonomous trucks are helping communities receive much-needed supplies and medical equipment around the clock. Our people are some of the most talented engineers and contributors who are leaving behind a historic legacy.
TuSimple was founded in 2015 with the goal of bringing the top minds in the world together to achieve the dream of a driverless truck solution. With a foundation in computer vision, algorithms, mapping, and Artificial Intelligence, TuSimple is working to create the first global commercially viable Autonomous Freight Network.
Role Responsibilities
- Work with massive datasets on data association, clustering, segmentation, filtering, and estimation
- Analyze and improve existing data sources and metrics
- Develop novel approaches to measuring and improving self-driving system
- Closely collaborate with other teams to conduct system design, integration and testing
Experience & Skills Required
- Enrolled in a M.S./Ph.D. program in Computer Science, Mathematics, Statistics or other related fields
- Solid knowledge and proven practical experience in one or more of the following fields: data mining, anomaly detection, supervised learning, clustering, causal inference
- Strong coding skills in Python
Preferred
- Publications in related conferences and/or journals
- 1-2 years academic or industrial experience in data mining