Position Title:  Engineering Intern (AI)

Date:  Jul 7, 2026
Requisition ID:  30340
Work Location: 

Shenzhen, GD, CN, 518000

About Philip Morris International

Philip Morris International (PMI) is a leading Fortune 500 company with more than 82,000 employees across over 180 markets worldwide. Our diverse workforce speaks over 80 languages and operates from 50 manufacturing facilities worldwide.

At PMI, we are undergoing a bold transformation to deliver a smoke-free future. Powered by science, technology, and innovation, we are reimagining how products are designed, developed, and delivered. Artificial Intelligence, advanced analytics, and digital engineering are playing a critical role in accelerating this transformation.

Our R&D and engineering teams are at the forefront of innovation, developing next-generation products and technologies that create meaningful impact for millions of adult consumers around the world.

Your Opportunity

Are you passionate about Artificial Intelligence and excited to apply it to real-world engineering challenges?

Join our Shenzhen R&D Hub as an AI Engineering Intern and work alongside experienced engineers and researchers to explore how AI can transform product development, testing, simulation, and engineering productivity. This is a unique opportunity to gain hands-on experience building practical AI solutions in a global innovation environment.

Location: Shenzhen, China
Duration: 2 to 3 Months (Full-Time)

 

What You’ll Work On:

Engineering Productivity

  • AI-assisted software and firmware development
  • Test automation and debugging optimization
  • Engineering workflow automation

Data Analytics & Simulation

  • Product testing data analysis and visualization
  • Predictive modeling for product performance and reliability
  • Data-driven engineering insights

Design & Documentation

  • AI-powered requirements and technical documentation generation
  • Knowledge search and summarization tools
  • Engineering content management and automation

Knowledge Management

  • Development of AI chatbots and copilots for engineering teams
  • Knowledge base organization, retrieval, and search optimization
  • Internal productivity and collaboration tools

Key Responsibilities:

  • Research and explore AI-driven solutions to improve engineering processes and workflows
  • Analyze engineering and testing data to uncover insights and automation opportunities
  • Design and develop prototypes, scripts, dashboards, copilots, or proof-of-concept solutions
  • Collaborate with cross-functional engineering teams to understand challenges and identify AI applications
  • Evaluate emerging AI technologies and recommend practical use cases
  • Document findings, share learnings, and contribute to knowledge-sharing initiatives across teams

 

Who We’re Looking For”

Education

Currently pursuing a Bachelor's or Master's degree in:

  • Artificial Intelligence
  • Machine Learning
  • Data Science
  • Statistics
  • Computer Science
  • Software Engineering
  • Embedded Systems
  • Or a related technical discipline

Skills & Qualifications:

  • Strong interest in applying AI technologies to real-world engineering problems
  • Hands-on programming experience in Python, C/C++, or similar languages
  • Familiarity with AI/ML concepts, data analytics, automation, or large language models (LLMs) is an advantage
  • Strong analytical and problem-solving mindset
  • Excellent curiosity, initiative, and willingness to learn
  • Ability to work independently and collaborate effectively within a team environment
  • Good communication skills in English and Chinese

 

Why Join PMI?

  • Work on real AI applications within a world-class R&D environment
  • Contribute to projects that directly impact engineering efficiency and innovation
  • Gain exposure to AI, embedded systems, product development, and advanced engineering practices
  • Receive mentorship from experienced engineers and technical leaders
  • Build practical skills through meaningful, hands-on projects
  • Opportunity to be considered for future internship extensions or full-time opportunities