Summary
Oscar Obeso is a Member of Technical Staff at Anthropic with eight years of experience at the intersection of software engineering and ML research, currently focused on alignment and interpretability. He has moved quickly from internships in quantitative research and software engineering to research roles collaborating with leading labs and researchers, co‑authoring an ICLR 2025 oral paper on knowledge and hallucinations in language models. Comfortable in both production and research settings, he has tackled applied interpretability projects for startups and research collectives and contributed work under mentorship from DeepMind-affiliated researchers. Trained in mathematics at ETH Zürich, he brings strong quantitative instincts to model analysis and systems design. Based in Zurich, he blends hands‑on engineering with rigorous experimental thinking, often bridging the gap between prototype research and deployable ML systems. A detail that stands out: he has repeatedly shifted between short, intense research engagements and production roles, signaling an ability to deliver fast, publishable insights while shipping reliable software.
8 years of coding experience
1 year of employment as a software developer
Deutsche Schule Barcelona
Bachelor's degree Mathematics, Bachelor's degree Mathematics at ETH Zürich
Spanish, katalanisch, German, English