ByteDance · 5 hours ago
Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics)- 2026 Start (PhD)
San Jose, CA
Full-time
Onsite
New Grad, Entry Level
$137K/yr - $259K/yrByteDance is enhancing the shopping experience and reducing logistics operational costs through its E-commerce Global Supply Chain and Logistics team at TikTok. The role involves developing machine learning and operations research models to optimize logistics and improve user experience.
ContentData MiningFoundational AIInternetSocial Media
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 the 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
Qualification
Required
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
Successful candidates must be able to commit to an onboarding date by end of year 2026
Please state your availability and graduation date clearly in your resume
Preferred
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
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.
As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.
Our time off and leave plans are: 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 as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra.
A 401K company match, gym and cellphone service reimbursements.
Company
ByteDance
ByteDance is a technology company that develops content creation platforms and services.
Founded in 2012
10001+ employees
H1B Sponsorship
ByteDance has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1350)
2024 (1123)
2023 (775)
2022 (487)
2021 (417)
2020 (245)
Funding
Current Stage
Late StageTotal Funding
$9.8BKey Investors
Capital TodayG42Tiger Global Management
2025-11-20Secondary Market· $300M
2024-07-25Secondary Market
2023-03-14Secondary Market· $100M
Leadership Team
Jochen Bischoff
Head of Global Business Solutions - Africa
Matty Lin
General Manager, Global Business Solutions, KR
Recent News
2026-01-16
2026-01-16
Company data provided by crunchbase