Reality Labs Research is looking for an intern to help us develop the next generation assistance systems that guide the users in contextual and adaptive future AR/VR systems. In particular, we are seeking candidates who have experience with either of the following: embodied AI, reinforcement learning, representation learning, planning, multimodal learning, video understanding.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 16 consecutive weeks.Research Scientist Intern, AI and Machine Learning (PhD) Responsibilities:Plan and execute cutting-edge research on developing novel embodied AI algorithms that can learn AR assistance policies in long-tailed and complex interaction tasks prevalent in everyday life.Leverage state-of-the-art (SOTA) embodied AI simulators and RL/DRL, neuro-symbolic, AI planning, robotics or stochastic programming methods to train and test policy models.Work towards taking on big problems and deliver clear, compelling, and creative solutions to solve them at scale. This is an exciting opportunity to conduct SOTA research while collaborating with other researchers, and engineers to develop, prototype, and test different AI/ML models at-scale for real-world interactive applications.Successful internships will also lead to publishable outcomes in top-tier journals or at leading international conferences.Minimum Qualifications:
Reality Labs Research is looking for an intern to help us develop the next generation assistance systems that guide the users in contextual and adaptive future AR/VR systems. In particular, we are seeking candidates who have experience with either of the following: embodied AI, reinforcement learning, representation learning, planning, multimodal learning, video understanding.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 16 consecutive weeks.Research Scientist Intern, AI and Machine Learning (PhD) Responsibilities:
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