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
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
M.S./B.S. degree in Computer Science, Mathematics, Statistics or other related fields
Solid knowledge 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
Relocation Assistance, Stock Options
Full Kitchen with unlimited snacks and fruits, free breakfast lunch, and dinner from an array of local restaurants.
Shape the landscape of autonomous driving
Gym membership, Learning/Education Budget
Work Visa Sponsorship available.
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.
This opportunity is located in San Diego, CA. Remote friendly during COVID-19
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