…reinforcement learning and related learning-based control for high-DOF, multi-fingered robotic hands—translating state-of-the-art research (reinforcement / imitation learning, teleoperation…

…Our research team pushes the frontier of post-training and reinforcement learning. Our applied AI team sits side-by-side with customers as they…

…You’ll help us reinforce the role of brand through well-articulated points-of-view, grounded in industry research and emerging brand effectiveness thinking…

…We aim to push the envelope by combining traditional autonomous systems algorithms with deep reinforcement learning-based solutions to deliver unmatched capability, agility, and…

…Experience in combinatorial optimization or other areas of operations research. Experience in reinforcement learning.

…training systems (reward modeling, reinforcement learning) that shape natural, human-like conversational behavior. You will own a significant research area and contribute across the…

…working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or…

…AWS technologies (EMR/Spark, Sagemaker, DynamoDB, S3, ClaudeCode), various AI/ML algorithms and techniques (Deep Learning, GenAI/LLMs, transformers, supervised/unsupervised/semi-supervised/reinforcement…

…applied scientists to translate research prototypes into robust, high-performance production systems — diving deep into LLM deployment frameworks, reinforcement learning infrastructure, and state-of…

…The scientist will lead applied research in multi-sensor fusion, real-time signals, perception, multimodal reasoning, reinforcement learning, and action-conditioned planning, with a…

…reinforcement learning, and other interventions improve or degrade monitorability. - Analyze model behavior and turn observations from monitoring into hypotheses, experiments, and recommendations. - Translate research…

…improving AI agents or agentic systems using large language models, including prompt and tool orchestration, model evaluation, automated grading, or reinforcement learning for security…

…You will work across AI Product Management, ML Researchers, Engineering, Operations, and Go-To-Market teams to turn our benchmark credibility into a durable…

…an infrastructure research engineer to design and build the core systems that enable scalable, efficient training of large models through reinforcement learning. This role…

…you learn fast in new domains, and you're drawn to the kind of ambiguity that comes with building in a space — AI security…

…We pursue ambitious research at the intersection of machine learning, AI, and causal inference, turning that research into innovations that improve customer experience and…

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

…Artificial Intelligence (AI) and applied science, including Computer Vision (CV), Physics-Informed Neural Networks (PINNs), Optimization, Reinforcement Learning, classical Machine Learning, statistical modeling, and…

As an Applied Scientist on the Science SW team, you will collaborate closely with other scientists and engineers to bring Reinforcement Learning (RL) research…

…collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling…

…research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG - Our values are publicly available: https://lambda.ai…

…Glean is seeking a Machine Learning Engineer to improve the quality of our AI Assistant and autonomous agents. This role sits at the intersection…

…Our team works on reinforcement learning, dataset creation, evaluations, and other post-training methods. We partner closely with research and product teams across the…

…We're looking for individuals who have a background in reinforcement learning research, are able to iterate quickly, and who can convert scientific rigor…

…delivering large-scale AI, machine learning, or distributed systems in production. Proven track record of delivering complex AI platforms from research through production at…