Software Engineer ML Infrastructure

You will architect and scale high-performance real-time API and data systems. You will design low-latency pipelines for large-scale event streams, ensure data reliability and consistency, mentor engineers on infrastructure practices, and collaborate to deliver resilient, extensible systems.

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 data integrity, availability, and consistency
• Mentor engineers on infrastructure best practices, architecture, and performance tuning
• Collaborate with researchers, product leaders, and engineers to deliver resilient, extensible systems

Requirements

• 5+ years of software engineering experience focused on infrastructure or large-scale data and ML systems
• Expertise in distributed systems, stream processing, and scalable backend architecture
• Ability to design and operate low-latency, high-throughput, fault-tolerant systems
• Systems design, performance tuning, and reliable-service development experience

Benefits

• Equity
• Medical benefits
• Dental benefits
• Vision benefits
• Additional health and wellness support programs