Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics)- 2026 Start (BS/MS)

Machine Learning Engineer Graduate

Join the E-commerce Global Supply Chain and Logistics team at TikTok! We're enhancing the shopping experience and reducing logistics operational costs. We are seeking brilliant and motivated graduate software engineers, eager to apply knowledge in machine learning (ML), operations research (OR), data mining, and statistical inference to real-world challenges.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities to kickstart your career, pursue bold ideas, and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance.

Successful candidates must be able to commit to an onboarding date by the end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis, so we encourage you to apply early.

Responsibilities:

• Responsible for the development of deep learning and operations research models and related intelligent systems for the global E-Commerce supply chain and logistics business.
• Utilize e-commerce big data and deep learning models to predict end-to-end estimated time of arrival (ETA) and logistics events (e.g., 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 (e.g., warehouse-level manpower forecasting, inventory-level demand forecasting).
• Apply 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 growth algorithms including potential merchant/creator mining, tiering, out-reach, and general growth algorithms.
• Work closely with e-commerce merchants/creators related operations and product teams to achieve high-quality growth goals.
• Combine massive e-commerce information through data mining and machine learning to predict product performance in traffic/conversion, improve the efficiency of product operation strategy and pricing/subsidy strategy, and assist in optimizing traffic distribution for product growth, cost optimization, and other scenarios.

Qualifications:

Minimum Qualifications:

• Bachelor's degree or above in 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.

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, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RecSys, or participated in data mining/machine learning competitions.

Job Information:

Compensation Description (Annually):

The base salary range for this position is $124,717 - $243,200 annually. Compensation may vary outside of this range depending on a candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Package, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units. Benefits may vary depending on the nature of employment and work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year, and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.

About Us:

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance:

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover, and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity, and enrich life – a mission we work towards every day. As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make an impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion:

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Reasonable Accommodation:

ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request.

Key skills/competency:

• Machine Learning Engineer
• Deep Learning
• Operations Research
• Data Mining
• Statistical Inference
• Supply Chain
• Logistics
• E-commerce
• Python
• TensorFlow/PyTorch