Machine Learning Engineer (Reinforcement Learning for UAV)
Tasks
- Build training architecture from simulation to deployment on hardware
- Create simulation environment
- Develop reinforcement learning control models using video and sensor data
- Implement sensor fusion for stable UAV control
- Perform domain randomization for robustness
- Quantize and prune models for onboard performance
- Select ML and simulation stack
Perks/Benefits
- Coffee
- Conference sponsorship
- Corporate library
- Flexible work hours
- Health insurance
- Mental health support
- Paid training
- Paid vacation
- Relocation support
- Remote work up to 10 days per year
- Snacks and office workspace
Skills/Tech-stack
AIMet | Actor-critic | Airsim | Domain Randomization | IMU | Isaac-Gym | Kalman Filter | Model Pruning | Model Quantization | NVIDIA TensorRT | Network Optimization | Neural Network | Neural Network Optimization | Policy Optimization | Proximal Policy Optimization | PyTorch | Raspberry Pi | Real Time | Real-time Systems | Reinforcement Learning | SNPE | Sensor fusion | Soft Actor Critic | TensorFlow | TensorFlow Lite | TensorRT | Time Systems | Twin Delayed DDPG | Unreal Engine | Video Processing
Education
N/A
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