As a Senior Machine Learning Engineer, you will design and enhance the AI evaluation platform, focusing on data pipelines and model benchmarking systems, collaborating closely with team members.

The Senior Full-Stack Product Engineer will lead technical design and development of AI products, owning features end-to-end and advocating for process improvements.

As a Machine Learning Scientist at LMArena, you'll lead open-source research, design experiments, and develop methodologies to evaluate AI models, collaborating across teams and engaging with the research community.

As a Technical Recruiter at LMArena, you'll manage the full recruiting cycle, partner with hiring managers, build talent pipelines, and enhance candidate experience, focusing on excellence and inclusive hiring.

The Engineering Manager at LMArena leads and grows a high-performing engineering team, partnering with cross-functional teams to drive execution and maintain technical excellence.

The Senior Software Engineer will lead the design of scalable, high-performance real-time data and API infrastructure, ensuring reliability and guiding engineers in best practices.

The Machine Learning Scientist will design experiments, analyze data, develop evaluation methods, and collaborate on AI model research and production.

The Senior Infrastructure Engineer will design and implement scalable infrastructure for LMArena's AI evaluation platform, collaborating with security and product teams to ensure robust and reliable services.

As a Senior Data Scientist, you will analyze complex datasets, form hypotheses on AI model performance, and collaborate with ML engineers to improve AI evaluation systems.

Build and optimize data pipelines for user vote data, ensuring data quality and scalability to advance AI model evaluations. Collaborate with teams to deliver insights and analytics.

The Analytics Engineer will design data models, build data pipelines, define metrics, and ensure data quality for AI evaluations.

The Enterprise IT Engineer will design, secure, and manage identity and access systems, oversee device compliance, and automate workflows across the enterprise stack.