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 AI, TuSimple is working to create the first commercially viable autonomous truck driving platform with L4 (SAE) levels of safety.
With solid machine learning knowledge, you will be intimately involved in the R&D department to develop state-of-the-art algorithms for autonomous truck driving solutions.
Formulate ill-defined problems with data driven approach for self-driving truck solutions
Responsible for developing, training, inferencing and evaluating machine learning algorithms and/or models
Build benchmark with proper methodology and analyze large-scale log data to characterize algorithms performance
Able to work independently with minimal supervision and deliver high-quality and reliable code for real-time application in a timely manner
Collaborate with other teams to conduct integration and tests
M.S. or Ph.D. in Computer Science, Machine Learning or other related fields
Solid knowledge and proven practical experience in one or more of the following fields: graphical models, time series, optimization, probabilistic filtering, and supervised/unsupervised methods
Practical experience in processing large-scale and real-world data
Strong coding skills in Python or C/C++
Publications in related conferences and/or journals
1-2 years of academic or industrial experience in machine learning
Work with world class AI Engineers
Shape the landscape of autonomous driving
Daily breakfast, lunch, and dinner
Full kitchen with unlimited snacks and fruits
TuSimple is an Equal Opportunity Employer. This company does not discriminate in employment and personnel practices on the basis of race, sex, age, handicap, religion, national origin or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above listed items.