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Position Summary
6 months starting in July 2026Role and Responsibilities
Key Responsibilities
AI & Data-Driven Modeling:
Develop and evaluate AI/ML models for predictive, surrogate, or generative modeling.
Analyze model performance to support design and engineering decisions.
Computational Workflows & Tooling
Contribute to computational pipelines involving geometric data (2D/3D, meshes, registration).
Develop Python-based tools for data processing, experimentation, automation, and visualization.
Skills and Qualifications
Candidate Profile
Proficient in English (speaking and writing).
Currently pursuing a Master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field.
Strong foundations in machine learning and data analysis.
Good Python skills and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
Familiarity with data/visualization tools (e.g., NumPy, Pandas, Matplotlib) is a plus.
Detail-oriented, curious, and proactive.
(Nice to have)
Exposure to computer vision (e.g., OpenCV) or 3D computer graphics.
Familiarity with simulation concepts (FEA) or model calibration using experimental data.
Experience with experiment tracking/versioning tools (e.g., Git, Weights & Biases) is a plus.
What We Offer
A 6-month immersive experience at the intersection of AI, computational design, and R&D.
Hands-on exposure to predictive modeling, generative modeling, and workflow automation.
A collaborative and international design environment where innovation drives real-world impact.
The chance to contribute to future Samsung wearable products and design workflows.
The chance to work in one of the most vibrant global innovation hubs in the world
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