Team Introduction
Join the E-commerce Global Supply Chain and Logistics team at TikTok! We're enhancing the shopping experience and reducing logistics operational costs.
We are seeking brilliant and motivated graduate software engineers, who are eager to apply their knowledge in machine learning (ML), operations research (OR), data mining, and statistical inference to real-world challenges.
We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities.
Co-create a future driven by your inspiration with TikTok Successful candidates must be able to commit to an onboarding date by end of year 2025.
We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.
Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for.
The application limit is applicable to TikTok and its affiliates' jobs globally. Online AssessmentCandidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.
Responsibilities : - Contribute to developing innovative deep learning and statistical models for efficient e-commerce logistics and ETA predictions.
- Harness data mining tools to construct logistics network knowledge graphs, contributing to a robust early warning system.
- Participate in crafting advanced predictive models for express package trajectories to improve network dynamics understanding and service accuracy.
- Assist in creating an optimized Service Network Design (SND) model to facilitate the smart expansion of our logistics operations.
- Support the design and implementation of predictive models for various logistics events, contributing to overall service improvement and cost savings.
Minimum Qualifications : - Master's degree in Computer Science, Engineering, Operations Research, or related fields.- Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline- Strong understanding of data structures and algorithms, with excellent problem-solving ability.
Strong understanding of applied machine learning and Big Data tools.- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications : - Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications- Internship experience or research experience, especially in e-commerce, supply chain, logistics, and transportation.
- Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI.- Curiosity towards new technologies and entrepreneurship- High levels of creativity and quick problem-solving capabilities
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