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

$137,750 - $237,500/Yr

Tiktok - Seattle, WA

Full-time - Entry Level

Seattle, WA

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

About the position

TikTok is the leading destination for short-form mobile video, with a mission to inspire creativity and bring joy. The company is headquartered in Los Angeles and Singapore, with offices in major cities around the world. The E-commerce Global Supply Chain and Logistics team at TikTok is focused on enhancing the shopping experience while 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. As a graduate, you will have unparalleled opportunities to kickstart your career, pursue bold ideas, and explore limitless growth opportunities. This role is designed for individuals who are ready to co-create a future driven by their inspiration with TikTok. Applications will be reviewed on a rolling basis, and candidates are encouraged to apply early. You can apply for a maximum of two positions, and your applications will be considered in the order you applied for them. In this role, you will be responsible for developing deep learning and operations research models and related intelligent systems for the supply chain and logistics of TikTok's global E-Commerce business. You will utilize e-commerce big data and deep learning models to predict end-to-end estimated time of arrival (ETA) and logistics events, enhancing the user logistics experience. Additionally, you will build logistics network knowledge graphs and predict the spatio-temporal trajectory sequence of express packages using deep learning and statistical inference. You will also employ NLP and LLM algorithms to address problems such as address verification and suggestion. Your responsibilities will include utilizing time series forecasting techniques to predict sales at various granularities and horizons, participating in the growth of e-commerce merchants and creators, and predicting product performance through data mining and machine learning. This role requires strong machine learning and deep learning skills to detect important factors and model relationships between future and historical data. You will work closely with e-commerce merchants and related operations and product teams to achieve high-quality growth goals. At TikTok, we believe that every challenge is an opportunity to learn, innovate, and grow as a team. We are committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Join us in our mission to inspire creativity and bring joy to our users around the globe.

Responsibilities

• Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
• Utilize e-commerce big data and deep learning models to predict end-to-end estimated time of arrival (ETA) and logistics events to enhance the user logistics experience.
• Build logistics network knowledge graphs and predict the spatio-temporal trajectory sequence of express packages through deep learning and statistical inference.
• Use NLP and LLM algorithms to handle address problems such as address verification and address suggestion.
• Utilize time series forecasting techniques to predict sales at different granularities and horizons, such as warehouse-level manpower forecasting and inventory-level demand forecasting.
• Participate in the growth of e-commerce merchants/creators, responsible for the growth algorithm of e-commerce merchants/creators, including potential merchants/creators mining algorithm, tiering algorithm, outreach algorithm, and growth algorithm.
• Work closely with e-commerce merchants/creators related operations and product teams to achieve high-quality growth goals.
• Predict the performance of products in traffic/conversion through data mining and machine learning, improving the efficiency of product operation strategy and pricing/subsidy strategy.

Requirements

• Master's or PhD degree in fields such as artificial intelligence, computer science, operations research, automation, statistics, mathematics, or related disciplines, with experience in data mining and deep learning.
• Proficient in machine learning and statistics, familiar with the principles and model structures of common machine learning and deep learning algorithms for classification, regression, and clustering, with practical application experience.
• Proficient in programming languages such as Python/Java, possessing excellent coding abilities, and familiar with at least one common machine learning/deep learning framework (TensorFlow/PyTorch etc.).
• Demonstrates a spirit of exploration, outstanding data analysis capabilities, strong initiative, and excellent teamwork and communication skills.

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.
• Published papers at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RecSys, or having participated in data mining/machine learning competitions.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and a 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) (prorated upon hire and increased by tenure) 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 our EAP and Lyra.
• 401K company match, gym and cellphone service reimbursements.