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Arena Intelligence

Software Engineer - ML Infrastructure

Bay Area (Remote)$150k–$350kfulltimemidAdded today

About this role

Arena Intelligence seeks an ML Infrastructure software engineer to design and operate scalable, real-time data and API systems that power AI model evaluation at scale. You'll architect low-latency pipelines for processing massive event streams while mentoring engineers on infrastructure best practices in a fast-moving, research-driven environment.

What you'll do

  • Architect and scale high-performance real-time API and data systems for AI model evaluation
  • Design low-latency pipelines to process and analyze large-scale event streams
  • Ensure data integrity, availability, and consistency across distributed infrastructure
  • Mentor engineers on infrastructure best practices, architecture, and performance optimization
  • Collaborate with AI researchers and product teams to anticipate infrastructure needs
  • Build resilient, fault-tolerant systems that support transparent AI evaluation

What they're looking for

  • Distributed systems design and implementation
  • Stream processing and real-time data pipeline architecture
  • Scalable backend systems and low-latency APIs
  • Systems performance tuning and optimization
  • Fault-tolerant and highly available system design
  • Experience with large-scale data and ML infrastructure
  • PyTorch or model development (preferred)
  • Technical mentorship and cross-functional collaboration

Benefits

  • Competitive base salary and equity compensation
  • Comprehensive health, dental, and vision coverage
  • Opportunity to work on cutting-edge AI evaluation technology
  • Small, mission-driven team environment
  • Culture emphasizing transparency and community impact
  • Fast-paced growth environment with high ownership
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Arena Intelligence

Arena Intelligence builds a platform for evaluating AI model performance through real-world testing and human preference data, powering insights for AI labs and enterprises. The company is hiring data engineers, security engineers, machine learning scientists, and customer-facing technical roles to scale its evaluation infrastructure, protect against misuse, and deliver custom solutions to customers.

View all jobs at Arena Intelligence

Likely interview questions

  • Describe your experience designing and operating low-latency, high-throughput systems at scale.
  • How have you approached performance tuning and bottleneck identification in distributed systems?