Working Student - Machine Learning
Eindhoven - Netherlands
EUR 27K-32K (estimate) Entry-level Full Time Part Time
Tasks
- Apply model efficiency techniques
- Architect efficient on device ML models for AR
- Conduct ablation studies and report results
- Create reproducible codebase with checkpoints
- Implement event driven and embedded ML pipelines
- Profile models under embedded like conditions
- Set up AR datasets and baselines
- Train and evaluate computer vision models
Perks/Benefits
- N/A
Skills/Tech-stack
Backpropagation | Bandwidth) | Computer Vision | Convolutional Neural Networks | Deep learning | Experiment tracking | FLOPs | Git | Knowledge Distillation | Latency | Linear Algebra | Memory Footprint | Model Compression | Neural Networks | NumPy | ONNX Runtime | Optimization | Performance Profiling | Probability | Pruning | PyTorch | Python | Quantization | Sparsity | TensorFlow Lite | Vision Transformers
Education
Regions
Countries
States
Cities
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