ML Research Engineer (Detect & Track Distillation)
Tasks
- Apply pruning
- Apply quantization
- Benchmark model performance and latency
- Build MLops pipelines
- Collaborate with cross-functional teams
- Curate task specific datasets
- Deploy models to embedded systems
- Distill foundation models
- Ensure reproducibility
- Evaluate computer vision models
- Fine-tune neural networks
- Implement robust logging
- Manage version control
- Mentor junior engineers
- Optimize models for edge AI
- Research computer vision methods
- Research model quantization methods
- Train and evaluate models
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | Computer Vision | Data Curation | Deep learning | Edge AI | Embedded Systems | GPU Computing | Knowledge Distillation | Latency optimization | LoRA | MLOps | Machine Learning | Model Compression | Model Evaluation | Neural Networks | Post-training | Post-training Quantization | Pruning | Quantization | Quantization aware training | ReIdentification | Robust Logging | Training pipelines | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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