Senior Machine Learning Engineer, Vision Models
Tasks
- Benchmark models and set quality bars
- Build train and fine tune scene understanding models
- Define ground truth and correctness criteria
- Develop automated benchmarks and validation metrics
- Diagnose failure modes and close blind spots
- Ensure statistically defensible evaluation evidence
- Improve model accuracy and generalisation
- Mentor engineers and align priorities across teams
- Perform error analysis and iterate
Perks/Benefits
Skills/Tech-stack
Auto-labeling | Benchmarking | Computer Vision | Data Curation | Deep learning | Distributed Training | Error Analysis | Foundation Models | Image Segmentation | Joint Training | Lidar | Machine Learning | Model Distillation | Multimodal Learning | Multitask Learning | Object Detection | PyTorch | Python | Scene Understanding | Semantic Segmentation | Simulation | Statistical Analysis | Temporal modeling | Transformers | Vision Transformers
Education
N/A
Regions
Countries
States
Cities
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