**This job is located in San Diego, CA.
Relocation assistance is provided**Job DescriptionBuild systems that evaluate the performance of every part of the self-driving stackHelp set the direction for the entire company in a data-driven wayWhat You’ll Do:Work with massive datasets on data association, clustering, segmentation, filtering, machine learning, feature engineering, and inferenceEstablish effective benchmarking pipelines to evaluate self-driving system in complex and nuanced situationsDevelop and deploy novel approaches to solve open-ended problemsClosely collaborate with other teams to conduct system design, integration and testingWhat You’ll Bring:2-3 years academic or industrial experience in Data miningM.S./Ph.D.
degree in Computer Science, Mathematics, Statistics or other related fieldsSolid knowledge and proven practical experience in one or more of the following fields: machine learning, data mining, anomaly detection, clustering, causal inference, feature engineeringStrong coding skills in PythonPreferredPublications in related conferences and/or journalsPerksVisa sponsorship is available for this positionOpportunity for professional growth and career advancementCompetitive salary and benefitsDaily breakfast, lunch, and dinnerShape the landscape of autonomous driving100% Company paid Medical, Vision, and Dental insurance planCompany 401(K) programCompany paid life insuranceCompany 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.