Multi-Modal AI Algorithm Development Intern

4 days ago


Singapore NITTO DENKO ASIA TECHNICAL CENTRE PTE. LTD. Full time
Roles & Responsibilities

Key Learning Objectives:

  • Understand multimodal AI fundamentals
  • Learn data preprocessing for multiple modalities
  • Apply machine learning & deep learning concepts
  • Develop model evaluation skills
  • Understand how algorithm development fits into product pipelines

Intern's Responsibilities:

  • Assist in data handling
  • Support algorithm development
  • Run experiments & document results
  • Review relevant literature, summarize findings and propose ideas for improvement
  • Ensure code and data management standards

Requirements:

  • Master's Degree or PhD student in AI, Computer Engineering or equivalent
  • Understanding of ML/DL framework
  • Highly motivated, self-driven, curious and hungry to learn
  • Added advantage for candidates with job internship or previous employment in data handling and algorithm development

Training and Development:

  • Software tools: git for version control
  • ML/DL framework: pytorch/tensorflow
  • Soft skills: agile project workflow, documentation & reporting, literature (papers/patents) review skills
  • Involvement in new stress algo development

Benefits:

  • Allowance Provided – Interns will receive a monthly allowance to support their contributions.
  • Paid Annual Leave – Applicable to interns who complete more than 3 months of service.
  • Supportive Culture – Join a vibrant team environment that champions continuous learning, collaboration, and growth.
  • Global Exposure – Gain experience working within a well-established Japanese multinational corporation.
  • Supportive Environment – Enjoy guidance from approachable supervisors and camaraderie with friendly high caliber colleagues.
Tell employers what skills you have

Machine Learning
Version Control
Image Processing
Pipelines
Stress
Data Management
Artificial Intelligence
Computer Vision
Soft Skills
Approachable
Algorithm Development
C#
C++
Visual Studio
Signal Processing

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