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Arena is seeking a Software Engineer in San Francisco to design and build data pipelines for AI evaluation. The role focuses on analyzing user vote data to improve model performance assessments.
Ideal candidates have strong backgrounds in software engineering, particularly in data systems, and are proficient in SQL and Python. They will collaborate closely with research and product teams to ensure data quality and innovate data infrastructure solution.
Arena Intelligence is the open platform for evaluating how AI models perform in the real world. Created by researchers from UC Berkeley’s SkyLab, our mission is to measure and advance the frontier of AI for real‑world use.
Millions of people use Arena Intelligence each month to explore how frontier systems perform — and we use our community’s feedback to build transparent, rigorous, and human‑centered model evaluations. Leading enterprises and AI labs rely on our evaluations to understand real‑world reliability, alignment, and impact. Our leaderboards are the gold standard for AI performance — trusted by leaders across the AI community and shaping the global conversation on model reliability and progress.
We’re a team of researchers, engineers, academics, and builders from places like UC Berkeley, Google, Stanford, DeepMind, and Discord. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We’re building a company where thoughtful, curious people from all backgrounds can do their best work. Everyone on our team is a deep expert in their field — our office radiates excellence, energy, and focus.
Arena Intelligence is seeking a Software Engineer to join our team and build the data pipelines and infrastructure that powers real‑world AI evaluation. You'll play a crucial role in designing and building the data pipelines that process and analyze tens of millions of user vote data, directly impacting how we understand and evaluate AI model performance. This role is ideal for someone who thrives in fast‑moving environments and is interested in building products to ensure accurate and fair evaluation of human preferences across different models, which will shape the direction of future AI development.
As an early member of our data engineering team, you'll partner closely with researchers, engineers, and product leadership to retrieve valuable data and insights from human votes and feedback. You'll help us move fast while staying rigorous, improving data quality, scaling our infrastructure to new levels, and deepening our ability to compare frontier models and predict human preferences.
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.