…AT APPLIED INTUITION, YOU WILL: - Conduct research on reinforcement learning (RL) and its training infrastructure, including topics on large-scale self-play RL, VLA…

…Are passionate about keeping up to date with current research and enjoy reimplementing and extending state-of-the-art approaches in deep reinforcement learning…

…Research Engineer, Performance RL (Reinforcement Learning) — teaching Claude to write correct, fast code for accelerators Research Engineer, Universes — long-horizon, ultra-realistic agentic training…

…Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable…

…About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the…

…researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Horizons The Horizons team leads Anthropic's reinforcement learning…

…π0/π0.5, LeRobot), including imitation/reinforcement learning or policy learning Ability to work on a broad class of engineering problems, from model hosting…

…Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious…

…Our work spans ML and Data science across predictive modeling, reinforcement learning (Bandits), adaptive experimentation, causal inference, data engineering. Key job responsibilities Search Supply…

…engineering roles. Hands-on experience with neural 3D reconstruction, mesh/object reconstruction, or deep‑learning–based 3D vision. Exposure to reinforcement or imitation learning…

…Proficient in reinforcing and promoting engineering culture and values across the organization and Cerner. An Oracle career can span industries, roles, Countries and cultures…

…machine learning and related research, and present research findings with the broader community Work closely with, and incorporate feedback from other specialists, engineers, and…

…machine learning and related research, and present research findings with the broader community Work closely with, and incorporate feedback from other specialists, engineers, and…

…Demonstrated experience working directly with scientists, engineers, researchers, or technical leaders. Strong understanding of AI, machine learning, safety research, alignment, or adjacent technical domains…

…Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About…

…novel Reinforcement Learning from Human Preference (RLHF) based data collection and evaluation system. Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other…

…Experience scaling and mentoring high-performing research and engineering teams. - Deep understanding of modern machine learning techniques, including transformers, reinforcement learning, alignment methods, and…

…RL teams across research and engineering and advance our overall RL stack Minimum qualifications Strong empirical research skills in Reinforcement Learning, large-scale ML…

…Our team works at the intersection of large language models, reinforcement learning from human feedback and verifiable rewards, agentic architectures, and multilingual/multimodal understanding…

…Lead emerging AI talent in research and adoption of cutting-edge AI techniques, including deep neural networks, reinforcement learning, causal inference, and foundational models…

…Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About…

…Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious…

…development - Experience with generative model architectures - Research publications or patents in generative AI technologies - Experience in Reinforcement Learning from Human Feedback (RLHF), Retrieval-Augmented…

…You will leverage Reinforcement Learning (RL), sim-to-real transfer, and other learning-based architectures to train policies that produce stable, dynamic gaits across…

…You will bring deep expertise in one or more areas such as deep learning, graph neural networks, or reinforcement learning, with the ability to…