Logistics Automation Engineer – New Grad (AI/ML)

Applied Materials, Inc.; Santa Clara (CA); On-site; USD 62,000 - 85,000; Full time

Job summary

Applied Materials, Inc. is seeking a data science–oriented professional to help transform AGS Logistics and Service Strategy. You will apply AI/ML, data analytics, and simulation to optimize global logistics and warehouse operations, delivering measurable efficiency and service improvements.

You will work with cross‑functional teams, leverage Gen AI tools, and develop scalable data-driven solutions while contributing to automation initiatives and strategic decision making.

Qualifications

• Bachelor's degree in Data Science / Business Analytics / CS / Statistics / Data Analytics / AIML; GPA 3.25+ preferred.
• Experience with GenAI tools and logistics / supply chain understanding; strong Python and statistics background.

Responsibilities

• Support AI/ML and data-driven solutions for logistics and warehouse operations.
• Analyze large datasets using data mining, analytics, and visualization tools to identify insights and improvement opportunities.
• Develop and evaluate network optimization models to improve supply chain efficiency and service performance.
• Build and run simulation models to assess operational scenarios and support strategic decision-making.
• Collaborate with cross-functional teams to solve complex business problems and implement scalable solutions.
• Contribute to automation initiatives that enhance operational productivity and visibility.

Skills

AI/ML fundamentals

Gen AI tools

Data mining

Python

SQL

Statistics

Operations Research

Optimization

Process Mining

Education

Bachelor's degree in Data Science / Business Analytics / CS / Statistics / Data Analytics / AIML

Tools

Gen AI tools

Process Mining tools

Simulation tools

Analytics tools

Job description

Applied Materials, Inc. is seeking a data science–oriented professional to help transform AGS Logistics and Service Strategy. You will apply AI/ML, data analytics, and simulation to optimize global logistics and warehouse operations, delivering measurable efficiency and service improvements.

You will work with cross‑functional teams, leverage Gen AI tools, and develop scalable data-driven solutions while contributing to automation initiatives and strategic decision making.