AI Automation Intern — WMS & DC Systems

LVMH

United States

Remote

USD 34,000 - 49,000

Full time

5 days ago
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Job summary

Sephora is offering an AI Automation–WMS & DC Systems internship designed to accelerate warehouse automation and streamline distribution center workflows. You will collaborate with Warehouse Systems, Distribution Operations, Supply Chain, and AI teams to design and deploy AI-driven tools that improve efficiency and reliability.

The role focuses on building AI-powered tools, analyzing data to identify bottlenecks, and supporting deployment in staging and production environments.

Qualifications

  • Pursuing a Bachelor's or Master's in a technical field.
  • Strong foundation in Linux, networking, APIs, Git, and cloud/containers.
  • Ability to document work and communicate with technical and non-technical audiences.
  • Eligibility: graduating 2027 or 2028; U.S. residency; relocation after graduation.

Responsibilities

  • Build AI-powered tools, scripts, and dashboards to enhance operational visibility.
  • Analyze WMS/DC data to identify bottlenecks and automation opportunities.
  • Assist with integration, testing, and deployment of automation scripts and AI tools.
  • Support root-cause analysis and continuous improvement for DC technologies.
  • Present automation prototypes and findings to engineering and operations teams.

Skills

Linux basics
Networking basics
APIs
Git
Cloud computing
Containers
CI/CD concepts

Education

B.S. in Computer Science
M.S. in Computer Science
Related technical field

Tools

CI/CD tools
Containers
IaC (Terraform/CFN)

Job description

Sephora is offering an AI Automation–WMS & DC Systems internship designed to accelerate warehouse automation and streamline distribution center workflows. You will collaborate with Warehouse Systems, Distribution Operations, Supply Chain, and AI teams to design and deploy AI-driven tools that improve efficiency and reliability.

The role focuses on building AI-powered tools, analyzing data to identify bottlenecks, and supporting deployment in staging and production environments.

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