Machine Learning Engineer Graduate; E-Commerce Supply Chain & Logistics PhD Job Seattle area,Washington USA,IT/Tech

Position: Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics)- 2026 Start (PhD)

Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics)- 2026 Start (PhD)

Location:

Seattle

Team:
Technology

Employment Type:

Regular

Job Code: A87990

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 some logistics events such as failed delivery, delivered but not received to enhance the user logistics experience. Build logistics network knowledge graphs and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. 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, inventory-level demand forecasting etc. We need strong machine learning and deep learning skills to detect important factors and model the relationship between future and history.

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, out-reach algorithm, growth algorithm, etc. Work closely with e-commerce merchants/creators related operations and product teams to achieve the high-quality growth goal of e-commerce merchants/creators.

Combined with massive e-commerce information, through data mining and machine learning, predict the performance of products in traffic/conversion, improve the efficiency of product operation strategy and pricing/subsidy strategy, and assist in optimizing traffic distribution, to satisfy the requirements of product growth, cost optimization and some other scenarios.

Qualifications

Minimum Qualifications:

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 (Tensor Flow/PyTorch etc.).
Demonstrates a spirit of exploration, outstanding data analysis capabilities, strong initiative, and excellent teamwork and communication skills.
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.
Published papers at conferences such as KDD, NeurIPS,(Use the "Apply for this Job" box below). SIGIR, WSDM, ICML, IJCAI, AAAI, Rec Sys, or participation in data mining/machine learning competitions.

Benefits

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer 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.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Job Information

Base salary range: $129,960 - $246,240 annually.
Compensation may vary…


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