Intern AI Platform Developer
@ IBM

New York, United States
$50,000
On Site
Intern
Posted 21 days ago

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Job Details

Introduction

IBM Research is at the forefront of technology and innovation. Joining as an Intern AI Platform Developer means working with a team that invents the future of computing and shapes generations with mind-bending work.

At IBM, you will be part of a rich ecosystem involving Research, Software, and Infrastructure, positioning you in a dynamic environment where growth and innovation thrive.

Your Role And Responsibilities

As an Intern AI Platform Developer, you will:

  • Design and develop software platforms for AI and machine learning.
  • Create frameworks, tools, and infrastructure for the AI lifecycle.
  • Work on components such as data ingestion, model training, serving, and monitoring.
  • Leverage cloud computing resources and containerization technologies.

Preferred Education

Bachelor's Degree is required.

Required Technical And Professional Expertise

  • Strong background in artificial intelligence and machine learning including deep learning and LLMs.
  • Proficient in Python, PyTorch, Go, and C++.
  • Experienced with containerization tools like Docker and Kubernetes.

Preferred Technical And Professional Experience

  • Experience in developing AI platforms and infrastructure.
  • Familiarity with AI software stack components: data ingestion, training, serving, and monitoring.
  • Experience with cloud-based AI platforms and contributions to open source projects.

Key skills/competency

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Python
  • PyTorch
  • Go
  • C++
  • Docker
  • Kubernetes
  • Cloud Computing
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How to Get Hired at IBM

🎯 Tips for Getting Hired

  • Research IBM's culture: Understand IBM mission, vision, and tech trends.
  • Tailor your resume: Highlight AI and software skills clearly.
  • Showcase project experience: Detail AI and ML projects effectively.
  • Prepare for technical interviews: Practice coding and system design questions.

📝 Interview Preparation Advice

Technical Preparation

Review AI algorithms and LLMs.
Practice Python and C++ coding.
Study containerization with Docker and Kubernetes.
Familiarize with cloud computing concepts.

Behavioral Questions

Describe a challenging technical project.
Explain your teamwork experience.
Discuss handling tight deadlines.
Share problem-solving approach.

Frequently Asked Questions