Join TuSimple and help change the way the world moves. Together we're making freight transportation safer, more efficient, and more environmentally friendly.
Build systems that evaluate the performance of every part of the self-driving stack
Help set the direction for the entire company in a data-driven way
What You’ll Do:
Work with massive datasets on data association, clustering, segmentation, filtering, machine learning, feature engineering, and inference
Establish effective benchmarking pipelines to evaluate self-driving system in complex and nuanced situations
Develop and deploy novel approaches to solve open-ended problems
Closely collaborate with other teams to conduct system design, integration and testing
What You’ll Bring:
2-3 years academic or industrial experience in Data mining
M.S./Ph.D. degree in Computer Science, Mathematics, Statistics or other related fields
Solid knowledge and proven practical experience in one or more of the following fields: machine learning, data mining, anomaly detection, clustering, causal inference, feature engineering
Strong coding skills in Python
Publications in related conferences and/or journals
Visa sponsorship is available for this position
Opportunity for professional growth and career advancement
Competitive salary and benefits
Daily breakfast, lunch, and dinner
Shape the landscape of autonomous driving
100% Company paid Medical, Vision, and Dental insurance plan
Company 401(K) program
Company paid life insurance
Company paid education/training.
Company paid gym membership.
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.