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

…Architect multi-agent systems (MAS) and frameworks to support goal-directed, reasoning, planning, and reinforcement-learning-based agents. Collaborate with product, engineering, business, and…

…or LLMs Experience in relevant robotics related research areas, such as: VLM, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and…

…reinforcement learning - Physics-aware reconstruction, deformable simulation - Passion for next-generation, scalable autonomy and robotics for real-world systems - Strong engineering and research skills…

…In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industries within our fast…

…research experience in one or more of the following areas: Machine Learning (required), End-to-End Autonomous Driving Models, Imitation Learning, Reinforcement Learning, or…

…The Seattle Robotics Lab is focused on fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation…

…Our team is a diverse and collaborative group of software engineers, machine learning (ML) engineers, and data scientists. We develop industry-leading simulation solutions…

…In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industries within our fast…

…Deep technical knowledge, and research experience in deep learning, reinforcement learning, robotics, or computer vision. Deep understanding of state-of-the-art machine learning…

…energy-based models, for robotics, including manipulation, path planning, and autonomous driving. Experiences in vision-language-action models, reinforcement learning for generative model optimization…

…sequential decision making, Imitation Learning, Deep Reinforcement Learning, generative modeling, large models (pretraining/finetuning), machine learning for robotics. You have strong problem solving and…

…energy-based models, for robotics, including manipulation, path planning, and autonomous driving. Experiences in vision-language-action models, reinforcement learning for generative model optimization…

…Expertise in a wide range of machine learning techniques, including deep learning, reinforcement learning, and statistical modeling. Experience working with large-scale datasets and…