Machine Learning Engineer — Infrastructure

About the RoleAs ourMachine Learning Infrastructure Engineer , you’ll design and scale the platforms that power cutting-edge ***** from high-performance inference engines to the underlying agent technologies and large-scale compute clusters that keep everything running. You’ll collaborate closely with researchers and product engineers to push the limits of inference performance, build reliable foundations for AI agents, and advance the next generation of training and post-training pipelines. ResponsibilitiesSpeed up research development, help researchers explore SOTA and new techniques on day oneBuild and optimize model training pipeline including data collection, data loading, SFT and RLOptimize a high-performance inference platform on top of both open-source and proprietary inference enginesDevelop and scale technologies for large-scale cluster scheduling, high-performance distributed training, and AI networkingBuild a strong engineering discipline across observability and reliability at scaleCollaborate with research and product teams to translate breakthroughs into robust, production-ready infrastructureQualificationsExpertise in one or more ***** inference engines, GPU optimization, cluster scheduling, or cloud-native infraFamiliarity with modern ML frameworks (PyTorch, vLLM, Verl, etc.)Startup-ready mindset (adaptable, fast-moving, high-ownership)What makes us interestingSmall, elite teamof ex-founders, researchers from top AI Labs, top CS grads, and engineers from top companiesTrue ownershipYou will not be blocked by bureaucracy, shipping meaningful work within weeks rather than monthsSerious momentumWe/re well-funded by top investors, moving fast, and focused on executionWhat we doShipconsumer products powered by cutting-edge AI research, andBuildinfrastructure that facilitates research and product, andInnovatecutting-edge research that will open up new consumer product formsThe DetailsFull-time, onsite role in Menlo ParkStartup hours applyGenerous salary, with additional benefits to be discussed during the hiring processJ-18808-Ljbffr

Created: 2025-09-29