Staff Software Engineer, Machine Learning Platform

Overview

Architect and lead development of scalable ML infrastructure for fraud prevention and personalized experiences.

Ideal candidate has 7+ years of experience in backend or ML infrastructure and strong AWS skills.

Locations

• United States, California, San Francisco

Requirements

• 7+ years in backend or ML infrastructure
• 5+ years with AWS, Kubernetes, Docker
• Proficiency in Python or Golang
• Experience in MLOps and ML lifecycle tools
• Familiarity with model observability techniques

Responsibilities

• Design and scale ML infrastructure
• Lead architectural decisions
• Drive platform reliability and observability
• Build high-throughput APIs
• Partner with Data Science and Product teams
• Guide adoption of ML training pipelines
• Mentor engineers

Benefits

• 401k match
• Medical, dental, vision benefits
• Generous vacation policy
• Paid parental leave
• Annual wellness stipend
• Community support time
• Hybrid work perks
• In-person and virtual events