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

…ML concepts - including generative models, recommendation systems, multi-modal AI, and reinforcement learning from human feedback (RLHF) Experience with AI ethics frameworks, responsible AI…

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

…Publications, open source contributions, or other demonstrated research impact in reinforcement learning, LLM post-training, or agent learning. Deep experience with distributed training, GPU…

…Ability to write clear PRDs, partner on research experimentation frameworks, and drive measurable outcomes. Experience building internal or platform-level products with complex workflows…

…drive continuous improvement through self‑development and Gong usage to raise deal quality and consistency. Represent and operate in alignment with company values, reinforcing…

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

…AT APPLIED INTUITION, YOU WILL: - Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA post-training with…

…Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most…

…grad PhD researcher to drive groundbreaking research at the intersection of AI, GPU computing, and Electronic Design Automation (EDA). Deep learning and GPU acceleration…

…PhD in Computer Science, Machine Learning, or Robotics, with a research focus on Reinforcement Learning, Foundation Models, or Multi-Modal learning Extensive experience designing…

…training processes Reinforcement Learning Fellows Mentors, research areas, & past projects Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors…

…Specialized research experience in deep learning, reinforcement learning, causal reasoning, or foundation models Prior industry experience (e.g. internships) in applied ML research or…

…as deep learning, computer vision, optimization, natural language processing, machine learning, reinforcement learning, computational statistics, applied mathematics and security/privacy. Our interns have an…

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

…Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training NICE TO HAVE: - Industry experience on relevant topics (self-driving application preferred…

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

…AT APPLIED INTUITION, YOU WILL: - Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA post-training with…

…small research team alongside RF and hardware engineers and the operators using the system. Current focus areas include self-supervised representation learning on signal…