…ABOUT THE ROLE We’re looking for an infrastructure research engineer to design and build the core systems that enable scalable, efficient training of…

…Research and systems in one role, with fast paths to owning the eval system end to end. BENEFITS - Up to $15k relocation bonus - $10K…

…Agent platform & infrastructure - Build the core agent harness that other teams build on top of, including memory systems, tool infrastructure, and retrieval architecture - Improve…

…WHAT SUCCESS LOOKS LIKE - Product teams ship on shared infrastructure without needing a platform engineer to hold their hand. - The system stays predictable as…

…software engineering, with models and ML-powered features shipped to production Strong engineering fundamentals: you write production-quality code and own systems Experience with…

…how you proved it was correct. - Experience with search infrastructure or data-intensive product systems. - Experience evaluating and operating on large third-party datasets…

…Collaborate with research scientists and engineers to translate research into production-ready systems at Meta scale. Mentor research scientists and engineers on the team…

…software systems and continuously improve the quality of other AI agents. ABOUT THE ROLE: We’re looking for an experienced research engineer to help…

…Collaborate with Data Scientists, Researchers, and Engineers to drive improvements across our platforms. We are looking for a Machine Learning Engineer focused on Evaluation…

…engineers, researchers, and operators. Many of us are former founders. We've built RL infrastructure at OpenAI, data foundations at Scale AI, and systems…

…Build, mentor, and grow a team of research scientists and research engineers Technical Strategy & Execution: Oversee work across the full LLM post-training stack…

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

…A real engineering background. Strong Python, comfortable with production systems and data, able to stand up the infrastructure your own experiment needs. Direct experience…

…model evaluation infrastructure - Drive research-to-production pathways, translating prototype systems into reliable, performant platform capabilities - Contribute to the broader research community through publications…

…of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's infrastructure fleet spans…

…for frontier research talent (labs, PhD programs, top open-source contributors) and elite systems engineering talent (distributed systems, GPU infrastructure, ML systems) - Build closing…

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

…ABOUT THE ROLE This is a backend and infrastructure role, not a research or model-training role. You'll build the systems our environments…

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

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

…researchers building frontier AI systems, including large language models, multimodal models, reasoning systems, training methods, inference systems, model serving, and scalable AI infrastructure. You…

…Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity…

…The role sits at the intersection of software engineering, infrastructure, and security. You will work closely with researchers, infrastructure engineers, and platform teams to…

…Engineer, Electrical Engineering, or a related field with a focus on reinforcement learning, robot learning, or control - Experience applying RL to physical robotic systems…

…Model compression, hardware-aware model optimizations, hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high-performance computing, performance optimizations…