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

…Drive hands-on RL training runs and optimize system design; guide customers through LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production…

…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…

…We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data…

…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…

…optimizations for inference infrastructure, benchmarking, and kernels. Conduct and publish original research that advances the Pareto frontier in ML Systems; survey recent publications and…

…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…

…systems, ML infrastructure, or data systems at scale. Experience working directly with frontier labs or other highly technical customers. Our Technology Stack Our engineering…

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

…Collaborate closely with the researchers and engineers building Liquid's models and training systems. - Ownership in a growing market: Help define our post-training…

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

…of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Code RL at Anthropic drives…

…research or RL workflows, and familiarity with agentic systems or LLM training pipelines Experience building agent frameworks, orchestration engines, or multi-agent systems, including…

…What You Bring - 8+ years in large-scale distributed systems or ML infrastructure, with several years building and operating model-serving or inference platforms…

…RL post-training systems, orchestrating trainer, rollout, environment, and reward workloads across thousands of GPUs. - Build high-throughput rollout generation, integrating inference engines (vLLM…

…As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that…

…You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable…

…scale our Reinforcement Learning Environments (RLE) platform and the infrastructure that powers it - Partner closely with Engineering, Research, Product, and Operations teams in the…

…Experience leading organizations building distributed systems, platform infrastructure, AI platforms, or large-scale software products. - Experience partnering with US engineering teams: Proven success working…

…As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your…