The role will include working with a 3D embodied AI simulator called AI Habitat -- implementing features in AI Habitat to support webXR experiences and developing robust client-server architectures for supporting large-scale human-in-the-loop data collection efforts. Expertise with WebXR, Javascript, Unity, and Python is preferred for this role. This role is a unique opportunity for collaboration with researchers and engineers to deploy models in AR/VR prototypes and for working in an interdisciplinary field while helping to shape the future of AR/VR.
Minimum qualifications
Experience with Unity and WebXR development
Experience with AWS management and client-server systems
Minimum 2 years of experience with Python, Javascript, SQL
Minimum 1 year of experience with C++
Experience with crowdsourcing services such as Amazon mechanical turk, dscout etc.
Preferred qualifications
Experience with reinforcement-learning toolkits and simulators such as Gym, AI Habitat, AI2THOR
Background in reinforcement learning and deep learning
Experience with Pytorch
Educational background
Required: BS in computer science, applied math/control, robotics, or a related field.
Preferred: MS in computer science, applied math/control, robotics, or a related field.