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Senior Researcher
3 months ago
Responsibilities:
Working closely with a team of experienced researchers to solve real world challenges in the domain of Embodied AI.Developing state-of-the-art approaches for Embodied AI applications.
Directions include, but not limited to, generative AI, representation learning, foundation models, reasoning, planning, data generation and augmentation, reinforcement learning, and control.
Translating mathematical problem definitions and model/solution specifications into efficient executable code.Conducting evaluation and empirical studies using robotic platforms in both simulation and real-world.
Proposing high-impact intellectual properties (e.g., patents), and publishing or contributing to research papers in top-tier AI venues.
Requirements What you will bring to the team:
M.Sc./ PhD degree in computer science or related fields (Exceptional candidates with Bachelor degree will be considered).Prior experience in sequence analysis and generative AI, in particular vision and language.
Proven research record in AI by having at least one paper as the first author in top tier venues, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA.Proficiency in Python programming language.
Experience with one or more mainstream deep learning frameworks e.g. PyTorch, TensorFlow.Experience in robotics applications, in particular decision making, planning and control.
Experience with using large-scale datasets and sensor data.
Experience with use of various transformer architectures and diffusion models.
Experience with imitation and reinforcement learning algorithms.