…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…

…learning research, with experience in RLHF, reward modeling, preference optimization, or post-training for large models. - Have worked on one or more of: reinforcement…

…Computer Science, Machine Learning, or Robotics, with a research focus on Data centric AI, Reinforcement Learning, Foundation Models, or Multimodal learning The expected base…

…with peers across engineering and product to bring scientific innovations into production. - Stay current with the latest research in LLMs, RL, and agent-based…

…other scientists, interns, engineers in the use of ML techniques. - Publishing innovation in research forums. - 6+ years of building machine learning models for business…

…or Master's degree in Electrical Engineering, Computer Science, Artificial Intelligence, or a related field. Strong knowledge of machine learning and deep learning Research…

…As a Reinforcement Learning Engineer you will advance the frontier of AI Reinforcement Learning development and delivery. You will build the infrastructure and tooling…

…Strong engineering and R&D experience in LLM post-training, reinforcement learning for language models (RLHF, RLAIF), reward modeling, policy optimization, model alignment, grounding…

…API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making. - 1+ years of building models for business…

…formal reasoning) - Experience in reinforcement learning or neuro-symbolic AI - Practical experience with PyTorch, the HuggingFace ecosystem, SageMaker, and RL tools - Experience using Unix…

…committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the RL teams Our Reinforcement Learning teams lead…

…software engineering, machine learning, and generative AI. You’ll help teams move quickly from prototype to production while building the reliable, high-performance systems…

…Build continuous learning systems where Advisor improves from every interaction — leveraging reinforcement learning from human feedback (RLHF), outcome-driven reward signals, and retrieval-augmented…

…RESPONSIBILITIES - Lead and participate in novel research to build a massive scale synthetic data generation pipeline and orchestration solution - Optimize the performance, cost, and…

…ensure reliability and performance in production deployments. REQUIREMENTS - Strong background in machine learning engineering, with experience in post-training, RL, or large-scale model…

…into roadmap and research direction. Post-training & Reinforcement Learning - Design and implement novel RL and post-training methods (RLHF, RLVR, GRPO, etc.) to align…

…inference engine for RL training workloads. You will collaborate closely with our product, research, and engineering teams to keep the API reliable, performant, and…

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

…NVIDIA is building an RL Frameworks engineering team to develop the open-source tools and infrastructure that AI researchers and post-training teams depend…