Senior Software Engineer, ML Infrastructure

Added
9 days ago
Type
Full time
Salary
Salary not provided

Related skills

distributed systems apis infrastructure low-latency stream processing

📋 Description

  • Architect and scale high-performance, real-time API and data systems
  • Design low-latency pipelines to process large-scale event streams
  • Ensure reliability via data integrity, availability, and consistency
  • Mentor engineers on infrastructure best practices and performance
  • Collaborate with AI researchers, product teams, and engineers to evolve infra

🎯 Requirements

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

🎁 Benefits

  • Competitive compensation and equity aligned to members' location.
  • Comprehensive health, dental, and vision benefits.
  • Opportunity to work on cutting-edge AI with a small, mission-driven team
  • Culture valuing transparency, trust, and community impact
  • Equal opportunity employer committed to diversity and inclusion
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