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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Research Engineer, Performance RL (Reinforcement Learning)”. A match may be a passing mention rather than the job itself. Titles only.
171 roles across 184 listings · show every listing · page 2 of 7
…WHOOP is hiring a Senior Product Manager to work at that layer, alongside our AI engineers, research scientists, and data scientists. The work spans…
…and multiprocessing) and demonstrated excellence in related performance analysis and tuning. Prior experience with Reinforcement Learning algorithms and compute patterns Expertise in distributed computing…
…of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team Our Reinforcement Learning teams are…
…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…
…We aim to push the envelope by combining traditional autonomous systems algorithms with deep reinforcement learning-based solutions to deliver unmatched capability, agility, and…
…engineers - Hands-on experience building real-time AI systems — speech, audio, or video - Track record with post-training methods: reinforcement learning, reward modeling, RLHF…
…s coding data products, RL environments, and agentic coding evaluations. You will work across AI Product Management, ML Researchers, Engineering, Operations, and Go-To…
…reinforcement learning. This role sits at the intersection of research and large-scale systems engineering: a builder who understands both the algorithms behind RL…
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…
…reinforcement learning for LLMs (RLHF, RLAIF), model alignment, and advanced context techniques. Experience building systems for multi-intent understanding, multi-hop reasoning, deep research…
…train LLMs using techniques like SFT, DPO, Reinforcement Learning (RLHF and RLAIF) for supporting model performance specific to a customer's location and language…
…reinforcement learning, reward modeling, RLHF/RLAIF, or alignment techniques applied to generative models - Experience with real-time interactive systems — models that handle concurrent input…
…collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling…
…self-directed research projects that go well beyond academic exercises and deliver tangible results. - Expertise in deep reinforcement learning (RLHF/RLAIF/RLVR) is a…
…researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Code RL at Anthropic drives reinforcement learning…
…for machine learning research or RL workflows, and familiarity with agentic systems or LLM training pipelines Experience building agent frameworks, orchestration engines, or multi…
…build, and scale our Reinforcement Learning Environments (RLE) platform and the infrastructure that powers it - Partner closely with Engineering, Research, Product, and Operations teams…
…You'll begin by building our first engineering teams across Reinforcement Learning Environments (RLE), Forward Deployed Engineering (FDE), International Expansion, and other strategic initiatives…
…As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your…
…As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your…
…Experience supporting reinforcement learning, post-training, agentic AI, or large-scale model evaluation programs. Familiarity with PPO, GRPO, asynchronous RL, distributed inference, rollout generation…
…Our research team pushes the frontier of post-training and reinforcement learning. Our applied AI team sits side-by-side with customers as they…
…YOUR RESPONSIBILITIES We are looking for a Senior Research Scientist to lead fine-tuning, post-training, and reinforcement learning for the next generation of…