Responsibilities
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
About the team!
The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce.
We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference.
This position can be fulfilled in our San Jose and Seattle offices.
Responsibilities
Build deep learning and statistical models to provide end-to-end estimated time of arrival (ETA) prediction for the e-commerce logistics.
Through fine adjustment of ETA expression to the consumers, improve the click-to-order rate while balancing the negative review indicators.
- Use data mining tools to build logistics network knowledge graphs, based on which to construct a situational awareness & early warning system for logistics fulfillment, enabling operations to discover and deal with logistics network anomalies, and to improve the logistics fulfillment quality together with logistics service providers.
- Analyze and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods.
This trajectory prediction can help to build a better understanding of logistics network dynamics, improve ETA prediction accuracy and provide important sample features for other prediction tasks.
- Build a service network design (SND) model for the location selection of transshipment centers and last mile stations based on an expected increase in logistics order volume.
- Extract the direction of logistics operation optimization, cost reduction and service quality improvement by in-depth understanding of supply chain and logistics scenarios.
- Develop innovative and state-of-the-art e-commerce logistics models and algorithms
Qualifications
- Master's or PhD degree in Computer Science, Engineering, Operations Research or related fields.
- Strong in data structures and algorithms, with excellent problem-solving ability and programming skills
- Experience in applied machine learning, familiar with one or more algorithms such as Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.
- Experience with at least one of the Big Data tools (For eg. Hive sql / Spark / Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow / Pytorch).
Preferred Qualifications
- Work experience in e-commerce, supply chain, logistics, transportation or related fields is preferred.
- Publications at KDD,NeurIPS,WWW,SIGIR,WSDM,CIKM,ICLR,ICML,IJCAI,AAAI and related conferences.
- 3+ years of working experience in machine learning, operations research or big data analysis.
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.
Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy.
To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.
We are passionate about this and hope you are too.
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws.
If you need assistance or a reasonable accommodation, please reach out to us at redacted .
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