Senior Software Engineer, Data Infrastructure

arena

San Francisco (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Health and wellness benefits
Opportunity to work with cutting-edge AI technology

Job summary

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.

Qualifications

  • 5+ years of experience in software engineering with a focus on big data technologies.
  • Proficiency in SQL and Python (or similar language).
  • Hands-on experience with data processing frameworks.

Responsibilities

  • Design and build data pipelines for user vote data processing.
  • Collaborate with teams to meet product goals.
  • Implement data integrity and quality solutions.

Skills

Software engineering
Data engineering
SQL
Python
Apache Spark
Data quality

Education

5+ years of experience in software engineering

Tools

Apache Spark
Databricks
Snowflake

Job description

About Arena Intelligence

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.

About the Role

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.

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.
Preferred Qualifications:
  • 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 and equity aligned to the markets where our team members are based. The base salary range will depend on the candidate’s permanent 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.

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