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Prepare ML/LLM system design, coding, and evaluation metrics; be ready to discuss how models serve logistics or e-commerce decisions under latency and data constraints. Tie examples to shipping, inventory, or marketplace operations where you can.
Best fit for new or soon-to-graduate engineers aiming at applied LLM/ML in large-scale commerce operations at TikTok, willing to work in Singapore from 2027.
As a graduate LLM ML engineer for TikTok’s global e-commerce, supply chain, and logistics track, expect work on applied models and LLM features that support forecasting, routing, inventory, or fulfillment intelligence. Days likely mix data exploration, experiment design, model training/evaluation, and handoff with product and operations partners ahead of a 2027 start.
Prioritize solid ML fundamentals, LLM application patterns (prompting, evaluation, fine-tuning where relevant), Python, and data pipelines; deepen supply-chain metrics (demand, lead time, fulfillment) for the domain. No certification list or costs were supplied for this family.
No. The listing is for Singapore with remote set to off.
The title indicates a 2027 start as a graduate hire.
Global e-commerce, supply chain, and logistics ML/LLM work, not a generic app-only internship title.
Website: tiktok.com
Public cache only — not an employee review.
LLM Machine Learning Engineer Graduate (Global E-Commerce, Supply Chain and Logistics) - TikTok - Singapore About the Role TikTok is seeking a LLM Machine Learning Engineer Graduate to join our global e-commerce team based in Singapore. As part of this role, you will be responsible for optimizing assortments and enhancing supply chain operations through advanced data analysis and machine learning techniques. Build and maintain global logistics and warehousing networks Utilize data analysis and operation research methods to improve operational efficiency Create cost-saving solutions to reduce overall operational costs Develop algorithms and models that enhance user experience in e-commerce services Collaborate with cross-functional teams to implement innovative supply chain strategies Day-to-Day Responsibilities Your day-to-day responsibilities will include: Analyzing large datasets to identify trends and patterns that can optimize logistics operations Designing, implementing, and maintaining machine learning models for supply chain optimization Developing and testing new algorithms to improve the speed and quality of fulfillment processes Working closely with data scientists and engineers to integrate advanced analytics into our systems Maintaining documentation and records related to your projects and findings Qualifications A recent graduate or early-career professional in a relevant field such as Computer Science, Data Science, or Engineering Strong background in machine learning and data analysis techniques Familiarity with Python, R, or other programming languages used for data science Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn is a plus Excellent problem-solving skills and ability to work independently as well as in a team environment A passion for innovation and a desire to contribute to the growth of global e-commerce services Working at TikTok At TikTok, you will have the opportunity to work on cutting-edge projects that impact millions of users worldwide. Our culture is built around collaboration, creativity, and continuous learning. We offer a dynamic and supportive environment where your contributions can make a significant impact. How to Apply To apply for this position, please submit your resume and cover letter through our online application platform. Ensure that you highlight your relevant experience in machine learning and data analysis. To apply, complete your application directly on this page,…
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