Senior Machine Learning Engineer - TikTok E-commerce Global Supply Chain and Logistics

$187,040 - $280,000/Yr

Tiktok - San Jose, CA

Full-time - Senior

San Jose, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational costs in TikTok E-commerce. We are currently looking for a Senior Machine Learning Engineer who possesses 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. In this role, you will be responsible for building deep learning and statistical models to provide end-to-end estimated time of arrival (ETA) predictions for e-commerce logistics. You will fine-tune ETA expressions to improve the click-to-order rate while balancing negative review indicators. Additionally, you will utilize data mining tools to construct logistics network knowledge graphs, which will enable the development of a situational awareness and early warning system for logistics fulfillment. This system will help operations discover and address logistics network anomalies, thereby improving fulfillment quality in collaboration with logistics service providers. You will analyze and predict the spatio-temporal trajectory sequences of express packages using deep learning, statistical inference, and other algorithmic methods. This trajectory prediction will enhance our understanding of logistics network dynamics, improve ETA prediction accuracy, and provide essential sample features for other prediction tasks. Furthermore, you will build a service network design (SND) model for selecting locations for transshipment centers and last-mile stations based on anticipated increases in logistics order volume. Your role will also involve extracting directions for logistics operation optimization, cost reduction, and service quality improvement through a comprehensive understanding of supply chain and logistics scenarios. Finally, you will develop innovative and state-of-the-art e-commerce logistics models and algorithms.

Responsibilities

• Build deep learning and statistical models for ETA prediction in e-commerce logistics.
• Fine-tune ETA expressions to improve click-to-order rates and balance negative review indicators.
• Utilize data mining tools to create logistics network knowledge graphs for situational awareness and early warning systems.
• Analyze and predict spatio-temporal trajectory sequences of express packages using deep learning and statistical inference.
• Construct a service network design model for transshipment center and last-mile station location selection.
• Extract optimization directions for logistics operations, cost reduction, and service quality improvement.
• Develop innovative e-commerce logistics models and algorithms.

Requirements

• Master's or PhD degree in Computer Science, Engineering, Operations Research or related fields.
• Strong knowledge of data structures and algorithms with excellent problem-solving ability and programming skills.
• Experience in applied machine learning with familiarity in algorithms such as Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks.
• Experience with at least one Big Data tool (e.g., Hive SQL, Spark, MapReduce) and one Deep Learning tool (e.g., TensorFlow, PyTorch).

Nice-to-haves

• Work experience in e-commerce, supply chain, logistics, transportation or related fields.
• 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.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% for dependents.
• Health Savings Account (HSA) with company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• Flexible Spending Account (FSA) options for healthcare and dependent care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO).
• 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match.
• Gym and cellphone service reimbursements.