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ArenaArenaSan Francisco, CA

Senior Software Engineer, ML Infrastructure

Leads design and development of scalable, real-time API and data infrastructure for AI model evaluations, processing large-scale event streams with low latency. Requires 5+ years in infrastructure or ML systems, expertise in distributed systems, stream processing, and backend architecture.

Salary not listed
Hybrid5+ YOEML Engineering

About the role

Responsibilities

  • Architect and scale high-performance, real-time API and data systems
  • Design and implement low-latency pipelines to process and analyze large-scale event streams
  • Ensure reliability through robust data integrity, availability, and consistency mechanisms
  • Mentor and guide engineers on infrastructure best practices, architecture, and performance tuning
  • Collaborate cross-functionally with AI researchers, product leaders, and engineers to anticipate evolving infrastructure needs and deliver resilient, extensible systems

Requirements

  • 5+ years of experience in software engineering, with a focus on infrastructure or large-scale data and ML systems
  • Deep expertise in distributed systems, stream processing, and scalable backend architecture
  • Proven ability to design and operate low-latency, high-throughput, and fault-tolerant systems
  • Strong foundation in systems design, performance tuning, and building reliable, fault-tolerant services
  • Comfortable in a dynamic, high-ownership, fast-growth environment

Nice-to-haves

  • Prior experience with PyTorch model development

Skills

Distributed SystemsStream ProcessingScalable BackendLow-Latency SystemsHigh-Throughput SystemsFault-Tolerant SystemsSystem DesignPerformance TuningPyTorchML Infrastructure

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