…Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA post-training with applications to robotics with emphasis…

…If you've shipped robot-learning systems that real people use, in research, open source, or production; and you love being close to both…

…Working knowledge of ML approaches relevant to robotics: imitation learning, reinforcement learning, sim-to-real transfer, anomaly detection for physical systems, or trajectory prediction…

…experience with multiple robot morphologies (mobile bases, arms, legged platforms) - Experience with reinforcement learning or foundation model deployment on robotic systems - Track record of…

…As a Research Scientist Intern, you will work at the intersection of representation learning, physics-based estimation, and robotic manipulation. Your primary focus will…

…machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications - Experience that includes strong analytical skills, attention to…

…with China researcher and developer communities, ISV and Service Providers. Deep understanding of AI algorithms, datasets, and benchmarks, including reinforcement learning for post-training…

…Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement…

…Collaborate with robotics researchers, learning engineers, and simulation engineers to integrate world models into robot planning and control pipelines, enabling model-predictive control, imagination…

…Experience in end-to-end robot learning, including imitation learning, reinforcement learning, or vision-language-action model training and deployment on physical robots. Proficiency…

We are seeking research scientists and engineers with a strong background in machine learning and robotics to drive breakthrough innovations in intelligent systems. This…

…Key job responsibilities - Develop simulations for reinforcement learning, closed-loop simulations and synthetic data generation - Implement essential robotics features, including accurate modeling of sensors…

…You'll drive independent research initiatives in areas such as locomotion, manipulation, motor control, actuator design, sim2real transfer, and multi-modal robot learning, designing…

…You'll drive technical excellence and independent research initiatives in areas such as locomotion, manipulation, perception, sim2real transfer, multi-modal, multi-task robot learning…

…You'll drive independent research initiatives in areas such as locomotion, manipulation, motor control, actuator design, sim2real transfer, and multi-modal robot learning, designing…

…You’ll bring deep expertise in reinforcement learning, computer vision, and supervised learning applied to robotics and embodied systems. You also need to think…

…Experience supporting reinforcement learning, simulation-driven training, robotics, or autonomy workloads. Experience deploying and optimizing AI models for edge hardware. Experience designing infrastructure for…

…simulation and reinforcement learning to bridge the human-to-robot embodiment gap. Key job responsibilities • Learning manipulation: Design and implement robot learning algorithms for…

…models (VLAs), Reinforcement Learning (RL), long-horizon planning, kinematics, or Sim2Real transfer Demonstrated research and software engineering experience via an internship, work experience, coding…

…Deep hands-on experience analyzing and optimizing performance of large-scale deep learning workloads, especially transformer-based models, LLM pre-training, reinforcement learning, fine…

…influential research papers to share your groundbreaking discoveries with the global AI community Drive innovation through close collaboration with research teams, diverse internal product…

…Strong background in generative AI, computer vision, multimodal learning, robotics, or reinforcement learning. Prior publication record and research experience. Strong Python and PyTorch skills…

…Direct experience with end‑to‑end driving models, large‑scale behavior cloning, or reinforcement/imitation learning for driving or robotics. Experience leveraging simulation, synthetic…

…fine-tuning, reinforcement learning, and on-policy distillation. Experience developing, evaluating, and deploying machine learning models in production environments. Strong research and problem solving…

…Engineering Intern - SW General Summary: Conduct research on practical algorithms such as embodied multimodal (VLA) and reinforcement learning based on mobile robotic arms and…