Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics)- 2025 Start (MS)

$115,200 - $144,000/Yr

Tiktok - Seattle, WA

Full-time - Entry Level

Seattle, WA

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

About the position

Join TikTok's E-commerce Global Supply Chain and Logistics team as a Machine Learning Engineer Graduate, where you will play a pivotal role in enhancing the shopping experience and optimizing logistics operations. Our mission is to inspire creativity and bring joy, and we believe that every challenge is an opportunity for innovation and growth. As a graduate engineer, you will have the chance to apply your knowledge in machine learning, operations research, data mining, and statistical inference to tackle real-world challenges in e-commerce logistics. In this role, you will contribute to the development of innovative deep learning and statistical models aimed at improving logistics efficiency and predicting estimated time of arrival (ETA) for packages. You will harness data mining tools to construct logistics network knowledge graphs, which will be integral to our early warning systems. Additionally, you will participate in crafting advanced predictive models that enhance our understanding of express package trajectories, ultimately improving service accuracy and network dynamics. Your responsibilities will also include assisting in the creation of an optimized Service Network Design (SND) model to facilitate the smart expansion of our logistics operations. You will support the design and implementation of predictive models for various logistics events, contributing to overall service improvement and cost savings. This position offers unparalleled opportunities for career growth and the chance to co-create a future driven by your inspiration with TikTok.

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.

Requirements

• 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.

Nice-to-haves

• 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.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
• Health Savings Account (HSA) with a company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 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.