ML Engineer - E-commerce Logistics & Supply Chain

TikTok; San Jose, Northern (CA, KY); Hybrid; USD 128,000 - 317,000; Full time

Job summary

TikTok is hiring a Machine Learning Engineer Graduate for its E-Commerce Global Supply Chain & Logistics team in San Jose. You will develop AI-native capabilities for global logistics, including ETA predictions, address intelligence, and workflow automation.

The role emphasizes applying LLMs, agents, and RL to real logistics problems at scale. As a graduate, you will explore bold ideas, tackle complex challenges, and grow within a data-driven environment.

Qualifications

• Bachelor's degree with practical ML experience.
• Proficient in ML algorithms for classification, regression and clustering.
• Proficient in Python/Java and ML/DL frameworks (TensorFlow/PyTorch).
• Strong data analysis, initiative, and teamwork/communication skills.

Responsibilities

• Develop deep learning and operations research models for supply chain and logistics.
• Use large ecommerce data and DL models to predict ETA and logistics events.
• Build logistics knowledge graphs and forecast spatio-temporal trajectories of packages.
• Apply NLP/LLMs to address address problems (verification/suggestions).
• Use time-series forecasting for sales, manpower, and demand planning.
• Collaborate with operations and product teams to drive growth and traffic optimization.
• Predict product performance to inform pricing and subsidy strategy.

Skills

Machine learning

Statistics

Data analysis

Python/Java

Teamwork & communication

Education

Bachelor's degree in AI/CS/OR/automation/statistics

Master's degree in Software Development/CS/Computer Engineering

Tools

TensorFlow

PyTorch

Job description

TikTok is hiring a Machine Learning Engineer Graduate for its E-Commerce Global Supply Chain & Logistics team in San Jose. You will develop AI-native capabilities for global logistics, including ETA predictions, address intelligence, and workflow automation.

The role emphasizes applying LLMs, agents, and RL to real logistics problems at scale. As a graduate, you will explore bold ideas, tackle complex challenges, and grow within a data-driven environment.