Machine Learning Engineer: Deep Reinforcement Learning

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Requirements:

• There are no educational requirements. We're more interested in projects you've worked on - both on the job and on the side.
• The ideal candidate will have excellent Python skills.
• Adept in at least one ML framework (PyTorch, TensorFlow, etc.).
• Experience in reinforcement learning, particularly in closing the sim2real gap, sparse rewards, offline learning, and unsupervised exploration techniques is highly desirable.

Responsibilities:

• Develop policies for tasks ranging from low-level aircraft control to high-level task assignment.
• Transition policies to a number of physical unmanned vehicles and evaluate performance in the field.
• Incorporate new aircraft/sensor models and simulation environments into our multi-fidelity hierarchical M&S framework.