…scale RL training infrastructure (distributed training, GPU clusters) - Strong communication skills and ability to work across disciplinary boundaries (ML, controls, mechanical engineering) Amazon is…

…CVPR, ACL, ICML, MLSys, ISCA, MICRO, DAC, ASPLOS, etc Demonstrated research and engineering experience via an internship, work experience, coding competitions, or widely used…

…We don't distinguish between research and engineering; the best infrastructure engineers here are also the ones who understand why the research works. WHAT…

…Post-train and adapt open-source LLMs for SCC use cases using SFT, LoRA, and preference-tuning methods (RLHF, RLAIF, RLVR). Design and build…

…This is a great fit for someone who wants to build process and infrastructure at a fast-growing Series C company, working closely with…

…The work spans computer use, code generation through RL, fundamental RL research for large language models, scalable infrastructure and training methodologies, and model reasoning…

…We’re a team of engineers, researchers, and operators. Many of us are former founders. We've built RL infrastructure at OpenAI, data foundations…

About the Team The Recursive Self-Improvement (RSI) team works across research, engineering, product, and infrastructure to build AI systems that accelerate and ultimately…

…Collaborate closely with the architecture, research, libraries, tools, product management, and system software engineering teams at NVIDIA to influence next-generation Metropolis platforms. Drive…

…We invite you to join a passionate group of researchers on our journey in building the next generation of AI infrastructure. Compensation We offer…

…WHAT WE'RE LOOKING FOR - 4+ years of experience in Systems Engineering, Distributed Systems, Cloud Infrastructure, or MLOps supporting LLM/RL workloads. - Data & Pipeline…

…senior engineers and ML researchers. Familiarity with how models are post-trained and evaluated, including agentic scaffolds and container-based rollout infrastructure. Excellent stakeholder…

…s coding data products, RL environments, and agentic coding evaluations. You will work across AI Product Management, ML Researchers, Engineering, Operations, and Go-To…

…research infrastructure — DoorDash's internal RL stack, RL environments built on real operational systems, training and evaluation pipelines, and agent evaluation harnesses, with engineering…

…Demonstrated track record of influencing cross-functional teams (Product, Engineering, Research) to deliver complex technical outcomes.

…and highly parallel/RL-style simulation environments. Experience designing and implementing agentic AI systems applied to complex systems and infrastructure problems. Your base salary…

…and highly parallel/RL-style simulation environments. Experience designing and implementing agentic AI systems applied to complex systems and infrastructure problems. Your base salary…

…Architect novel frameworks and runtime optimizations for inference infrastructure, benchmarking, and kernels. Conduct and publish original research that advances the Pareto frontier in ML…

…Hear from our employees directly on our Glassdoor https://www.glassdoor.com/Overview/Working-at-Clay-EI_IE9850794.11,15.htm page! ACCOUNTING ENGINEER…

…preference optimization, RL, distillation — including the evaluation work required to know whether it helped. Experience with ML training or research infrastructure: experiment orchestration, evaluation…

…You’ll manage a portfolio of high-impact Solutions Partners, working closely with Clay’s GTM Engineering, GTM Ops, and Sales teams to identify…

Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises…

…RL workflows. You'll work alongside a team that ships fast & sweats reliability and the researchers behind DeepSpeed. We're looking for an engineer…

…You will work closely with Liquid's model, research, and infrastructure teams in Japan and at our US headquarters. Signals from real deployments will…

…self-directed research projects that go well beyond academic exercises and deliver tangible results. - Expertise in deep reinforcement learning (RLHF/RLAIF/RLVR) is a…