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# Member of Technical Staff - ML Infrastructure software engineer

- **Company:** Arena Intelligence, Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Training Data, Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, Data Integrity, Data Systems, Distributed Systems, Fault Tolerance, Design of User Interfaces, Human-Computer Interaction, Performance Tuning, Systems Development Life Cycle, Software Engineering, Systems Architecture, Pytorch, Backend, Real Time Data, Build Tools, Machine Learning Operations, Stream Processing, Multiplatform
- **Published:** September 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/member-of-technical-staff-ml-infrastructure-ca--31fc2b79-b111-49c7-9c1d-ec7ad3edbf0d

## About the Role

* 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
 * Prior experience with PyTorch model development is a plus., Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Best Practices, Cross-Functional, Data Quality, Distributed Computing, High Throughput, Infrastructure Software, Mentoring, Multiplatform/Cross-Platform, Performance Tuning/Optimization, Product Engineering, Research & Development (R&D), Scalable System Development, Software Engineering, System Architecture, Time Management, Training Data Sets, Use Cases, User Interface/Experience (UI/UX)

## Description

Arena Intelligence is seeking a Member of Technical Staff - ML Infrastructure software engineer to lead the design and development of scalable, high-performance real-time data and API infrastructure. In this role, you'll architect systems that capture and process large volumes of serving requests in real time, powering the insights that help researchers and developers build the world's most advanced AI and its applications. Your work will be foundational to how we surface trustworthy, transparent, and timely evaluation signals across the platform. This role is ideal for someone who thrives in fast-moving environments, cares deeply about performance and reliability, and wants to build systems that help the AI community better understand what models are the best for their real-world use cases.

You'll

 * 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


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