AI/ML Researcher for Autonomous Aerial Systems
Tasks
- Create reinforcement learning imitation learning and meta learning algorithms
- Design distributed learning algorithms for multi agent coordination
- Design efficient onboard intelligence algorithms
- Develop deep learning architectures for sequential decision making
- Develop federated learning across swarms
- Develop foundational machine learning algorithms for autonomous aerial systems
- Develop optimization algorithms for real time adaptation and continual learning
- Implement adaptive learning methods for unmanned aerial systems
- Publish research and contribute to open source artifacts
- Research autonomous decision making algorithms
- Research uncertainty aware probabilistic methods
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Architecture Search | Bayesian Methods | C++ | CUDA | Deep learning | Distributed Training | Embedded Systems | Federated Learning | Imitation Learning | Julia | Machine Learning | Meta Learning | Model Compression | Model Quantization | Multi-Agent | Multi-Agent Systems | Network Optimization | Neural Architecture | Neural Architecture Search | Neural Network | Neural Network Optimization | Probabilistic Modeling | Python | Reinforcement Learning | Sequential modeling | Series modeling | Stochastic Optimization | Time Series | Time Series Modeling | Uncertainty Quantification
Education
Roles
AI | AI Researcher | Machine Learning Researcher | Researcher
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