Baseten is seeking a Post-Training Research Engineer to build in-house tooling for post-training AI models at scale. This role involves deep technical dives into ML techniques, distributed computing, and systems-level concepts to support customer custom models, which are critical for Baseten's inference platform.

Post-training researcher focused on fine-tuning open-source LLMs for specific customer tasks using RL and reward engineering. Involves building training pipelines, environments, and evals, and working with customer data to improve models that reach millions of users.

Research Scientist focused on post-training methodology and performant inference, with a significant portion dedicated to pure research and the remainder to applied research informing the company's platform and customer needs. The role involves designing and executing experiments, publishing at top venues, and collaborating with engineering teams to translate research into production systems.

Software Engineer focused on building and shipping training products for AI companies, working across the full stack from API to infrastructure, including fine-tuning models and partnering with research engineers. The role involves developing features like multi-node training and serverless RL, with a focus on developer experience and reliability.