
Multi-Modal AI Algorithm Development Intern
1 week ago
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
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.
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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