Machine Learning Engineer, Global E-Commerce, Personalized Presentation/Pricing & User Growth

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 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.

About Our Team

We are the core logistics algorithm team for global e-commerce, focusing on end-to-end logistics innovation and business implementation to address key pain points in pricing, cost, timeliness, and service quality through technology. In this role, you will be deeply involved in building core algorithmic frameworks. On one side, you will advance cutting-edge techniques such as deep learning, lead-time/ETA prediction, causal inference, and generative models to provide core algorithm support for platform growth. On the other side, you will connect key logistics factors with search/recommendation traffic ecosystems and the consumer conversion funnel, directly driving improvements in conversion and GMV. You will collaborate with top-tier toC/toB algorithm teams in the industry and grow both technically and in business impact through high-value, high-impact core scenarios.

Job Responsibilities

1. Design and implement algorithms for intelligent shipping-fee pricing, free-shipping strategy optimization, and subsidy-pricing coordination across diverse international e-commerce logistics scenarios. Build multi-objective pricing optimization models to balance user landed price, logistics cost, and business profitability, and deliver end-to-end cost reduction and efficiency improvement solutions.

2. Lead algorithm development for core businesses such as intelligent recommendation of logistics services and prediction of delayed user order conversions. Uncover how logistics factors influence consumer decision-making, build a measurable growth algorithm framework, and continuously improve platform conversion rate, repeat purchase rate, and GMV.

3. Develop a deep understanding of international e-commerce logistics scenarios. Through data mining and modeling, identify key levers for optimizing logistics operating models, cost control, and service quality. Leverage generative models to build ETA prediction and anomaly risk early-warning models, continuously improving user logistics experience.

4. Collaborate closely with product, operations, and business analysis teams, participating in end-to-end product solution design. Drive productization and iterative optimization of algorithm models, codify reusable algorithmic methodologies, and continuously empower the business.

Minimum Qualifications

1. Bachelor's degree or above in Mathematics, Statistics, Computer Science, Operations Research, Supply Chain & Logistics, or related fields.

2. Solid foundation in algorithms and data structures proficient in at least one programming language among Python/Java/C++/R.

3. Familiarity with core algorithms in deep learning, causal inference, and generative models, with a strong interest and solid understanding in algorithmic innovation.

4. Strong business understanding and data sensitivity, with the ability to translate business problems into practical, deployable algorithmic solutions.

5. Highly self-driven, clear logical thinking, and strong learning ability, with excellent teamwork skills and cross-functional communication capabilities.

Preferred Qualification

1. Priority will be given to candidates who have published papers or achieved project results in top computer science conferences (such as NeurIPS, ICML, ICLR, KDD, AAAI, IJCAI) or top operations research journals (such as OR, MS, MP, M&SOM, POMS, TS, TRB).