Software Engineer III [21801-1]

Software Engineer III [21801-1]

Job Title: Software Engineer III [21801-1]Req: 21810-1Type: W2 ContractDuration: 12 MonthsLocation: Redmond WA*Must be authorized to work in US*Software Engineer IIISummaryAt our Clients Reality Labs, their goal is to explore, innovate and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of an always-on AR device that can provide contextually relevant assistance across a range of complex, dynamic, real-world tasks in natural environments. To support the data requirements of such AR assistance ML models, we are looking for a software engineer and system design generalist with skills in web XR, AWS management, client-server systems, and crowdsourcing who can accelerate the team’s large-scale data collection infrastructure development.Job Description: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 developmentExperience with AWS management and client-server systemsMinimum 2 years of experience with Python, Javascript, SQLMinimum 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, AI2THORBackground in reinforcement learning and deep learningExperience with PytorchEducational 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.Preferred qualifications:Experience with reinforcement-learning toolkits and simulators such as Gym, AI Habitat, AI2THORBackground in reinforcement learning and deep learningExperience with Pytorch

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