Staff Engineer, Machine Learning
Tasks
- Apply model optimization and issue resolution during validation
- Build simulation based reinforcement learning framework
- Collaborate with embedded and MLOps teams
- Design single stage end to end ADAS model architectures
- Evaluate and benchmark models on real world use cases
- Lead end to end driving model development
- Optimize model integration and performance tuning
- Support model deployment on embedded hardware
- Train models using multimodal sensor inputs
- Train reinforcement learning models in simulation
Perks/Benefits
- 401k employer match
- Dental insurance
- Life insurance
- Long-term disability
- Medical insurance
- Paid Holidays
- Short-term disability
- Student loan repayment
- Tuition reimbursement
- Vacation
- Vision insurance
Skills/Tech-stack
Camera | Computer Vision | Convolutional Neural Networks | DETR | Deep Neural Networks | Deep learning | DevOps | Embedded Systems | End to End | Hardware-Aware Optimization | Lidar | MLOps | Machine Learning | Multi-Modal | Multi-Modal Learning | Neural Networks | ONNX Runtime | Object Detection | Pruning | PyTorch | Quantization | Radar | Reinforcement Learning | Sensor fusion | Simulation | Spatio-temporal models | Temporal models | TensorRT | Transformers | Vision Transformers | World Models
Education
Regions
Countries
States
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