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.
YOU’LL
Design and build robust data pipelines to ingest, process, and transform user vote data to features essential for model performance evaluation.
Collaborate with researchers and product leadership to understand product goals and necessary data.
Design and implement solutions to generate result dashboards and reports, providing useful information for the public, model providers, and researchers.
Ensure the integrity, data quality, and reliability of the pipelines.
Scale our data infrastructure to accommodate increasing data volumes and evolving analytical needs.
YOU’LL HAVE
5+ years of experience in software engineering, with a dedicated focus on data engineering and big data technologies
Proficiency in SQL and at least one programming language commonly used for data analysis (Python (preferred), Scala, R).
Hands-on experience with data processing and pipeline frameworks (Apache Spark, Ray Data, etc.) and at least one popular big data analytics platform (Databricks, Snowflake).
Demonstrated experience in designing, implementing, optimizing, and debugging production data pipelines.
BONUS POINTS
Prior work in data analytics or datalake platforms.
Experience in advanced data analysis tools, such as Delta lake, streaming tables.
Exposure to machine learning is a plus.
WHAT WE OFFER
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
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.
