Senior Machine Learning Engineer - Perception
Tasks
- Architect multi modal vision systems
- Automate data quality assurance
- Conduct code reviews
- Deploy perception models to edge compute
- Detect dataset bias
- Fuse 2D inputs with 3D geometry
- Implement active learning for edge cases
- Improve data quality
- Integrate runtime for low latency inference
- Maintain perception roadmap
- Mentor junior engineers
- Optimize model graphs for deployment
- Own labeled dataset pipeline
- Quantize models with TensorRT
- Train 2D and 3D vision models
- Write production C++ code for robotic control integration
- Write production Python code for perception integration
Perks/Benefits
- 401k contributions
- Dental insurance
- Federal Holidays
- Health insurance
- State Holidays
- Unlimited vacation
- Vision insurance
Skills/Tech-stack
2D vision | 3D Vision | AWS | Active Learning | Amazon EC2 | Amazon S3 | C++ | CUDA | Camera Calibration | Cloud Storage | Cloud platform | Dataset curation | Docker | Experiment tracking | Google Cloud | Google Cloud Platform | Google Cloud Storage | Mask R-CNN | Multi-view Geometry | ONNX Runtime | PointNet | PyTorch | Python | Quantization | R-CNN | TensorRT | Transformers | YOLO
Education
N/A
Regions
Countries
States
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