Member of Technical Staff at Thesis

As a Member of Technical Staff, you will design and build the architectures, evaluation loops, training systems, and orchestration layers that allow machine learning research to compound. Your work will become the foundation for neo labs applying AI to materials discovery, robotics, drug discovery, climate science, and other frontier domains. What You’ll Work On Autonomous R&D systems Design workflows for hypothesis generation, experiment planning, model training, evaluation, debugging, and iteration. Autonomous R&D systems Design workflows for hypothesis generation, experiment planning, model training, evaluation, debugging, and iteration. The hill-climbing engine Build systems that search large spaces of architectures, hyperparameters, datasets, losses, and training procedures, using each result to improve the next experiment. The hill-climbing engine Build systems that search large spaces of architectures, hyperparameters, datasets, losses, and training procedures, using each result to improve the next experiment. Frontier AI infrastructure Engineer the APIs, schedulers, queues, storage, and observability that run many experiments reliably in parallel across models, datasets, an