Data Scientist - ML Research
As a Data Scientist, you'll analyze complex datasets to uncover insights about AI model performance, collaborating with researchers to enhance evaluation systems.
As a Data Scientist, you'll analyze complex datasets to uncover insights about AI model performance, collaborating with researchers to enhance evaluation systems.
As a frontend-specialized Software Engineer, you will own and enhance Arena's public web surfaces, including the blog, marketing pages, and leaderboard UI for AI model evaluations.
The GTM Strategy and Operations Lead will shape growth strategies and own the commercial foundation, collaborating with leadership on pipeline management, pricing, and market expansion.
You will own the full lifecycle of revenue generation, ensuring Arena meets its annual targets by embedding evaluation infrastructure into advanced AI companies' workflows.
As an Infrastructure Engineer, you'll build and maintain the core infrastructure for AI model evaluations, ensuring reliability and scalability while collaborating with a dynamic team.
Build and maintain the core infrastructure for online evaluation systems, focusing on API-based products, enterprise-grade systems, and deep observability for AI model evaluations.
As a Backend Engineer, you will build APIs, services, and data systems that transform Arena's evaluation methods into enterprise-grade products, collaborating closely with infrastructure teams.
As a Software Engineer focused on Anti-Abuse, you will develop and implement systems to detect and prevent misuse, ensuring the integrity and trustworthiness of Arena's evaluations.
As a Senior Software Engineer, you will own features end-to-end, from design to deployment, ensuring they meet user needs and contribute to the advancement of AI evaluation.
We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy.
As a Technical Recruiter, you will drive full-cycle recruiting, partner with hiring managers, and enhance inclusive hiring practices to build a world-class team in a deep-tech environment.
Lead the design and development of scalable, high-performance real-time data and API infrastructure to support advanced AI applications.
As a Staff Software Engineer, you will own product areas, design systems, and drive measurable outcomes while collaborating with cross-functional teams to enhance AI evaluation.
Design and build data pipelines and infrastructure for real-world AI evaluation, impacting how AI model performance is understood and assessed.
Lead open-source research initiatives to enhance AI model evaluation, focusing on dataset curation, methodology development, and community engagement.
Design and analyze experiments to evaluate AI models, collaborating with engineers and product teams to develop new methodologies and metrics for assessing model performance.
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