Чем предстоит заниматься
This role sits at the frontier of our research agenda. You will pursue open problems at the intersection of post-training methodology and performant inference, and then collaborate with research engineering to translate findings into production systems
A meaningful portion of your time will be dedicated to research that deepens our understanding of how models learn, alignment, and architectural efficiency — questions that may not have immediate product application. The remainder will be directed toward research that solves concrete problems for Baseten's platform and customers, who are the fastest growing AI companies in the world like Cursor, Lovable, and Notion
We are looking for someone with sharp research taste and genuine creative instinct for problem selection. Someone who can identify questions that matter, design clean experiments to answer them, and push the state of the art. The environment here is not theoretical, but rather research that can be validated with eager customers who are serving billions of tokens a second
Define and pursue a research agenda spanning both foundational and applied work, with the applied component connected to Baseten's platform and customer needs
Design and execute rigorous experiments, frequently at meaningful scale (multi-node, trillion parameter models)
Work with customers to translate domain-specific requirements into research problems, where relevant to your agenda
Publish at top venues (NeurIPS, ICML, ICLR) and establish Baseten's research presence
Collaborate with model performance and training infrastructure teams to bridge research findings and inference production systems
Mentor junior researchers and shape the technical direction of the research organization as it grows