Machine Learning Engineer Graduate

Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics)- 2026 Start (BS/MS) Location: San Jose Team: Technology Employment Type: Regular Job Code: A52959 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 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 and inventory‑level demand forecasting. Strong machine learning and deep learning skills are required 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 of merchants/creators including potential merchants/creators mining algorithm, tiering algorithm, out‑reach algorithm, growth algorithm, etc. Work closely with related operations and product teams to achieve high‑quality growth goals. Combine massive e‑commerce information, data mining and machine learning to predict product performance in traffic/conversion, improve product operation strategy, pricing/subsidy strategy, and assist in optimizing traffic distribution to satisfy product growth and cost‑optimization scenarios. Qualifications Minimum Qualifications: Bachelor’s degree or above 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. Preferred Qualifications: Software engineering experience from previous internship, work experience, coding competitions, or publications. Internship 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 participation in data mining/machine‑learning competitions. Job Information The base salary range for this position in the selected city is $118,658 - $177,000 annually. Compensation & Benefits Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses, incentives, and restricted stock units. Benefits vary depending on the nature of employment and 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, and more. 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. Legal and Compliance 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; Exercising sound judgment. About ByteDance 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 China‑specific platforms such as Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect, consume, and create content. Why Join ByteDance Inspiring creativity is at the core of ByteDance’s mission. Our innovative products help people authentically express themselves, discover, and connect. Our global, diverse teams make that possible. Together we create value, inspire creativity, and enrich life—a mission we work toward every day. As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to impact in a rapidly growing tech company, constantly iterating and fostering an “Always Day 1” mindset to achieve 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 globally, and so does our workplace. We celebrate diverse voices and create 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 #J-18808-Ljbffr