Staff Software Engineer - ML Infrastructure

Overview

Role involves driving the computer-vision platform for workplace safety through ML infrastructure.

Ideal candidate has 5+ years in large-scale infrastructure with a focus on ML or data-intensive systems.

Locations

• United States, California, San Francisco

Requirements

• Bachelor's degree required
• 5+ years of experience in large-scale infrastructure
• 3+ years focused on ML or data-intensive systems

Responsibilities

• Own data and labeling pipelines
• Build and operate training infrastructure
• Manage the full model lifecycle
• Provide technical leadership and mentorship
• Establish DevOps-for-ML best practices
• Partner with ML engineers on architecture decisions

Benefits

• Health, dental, and vision insurance
• Paid parental leave
• Equity Incentive Plan
• Generous paid time off
• Flexible work arrangements
• Daily meals in-office
• 401K retirement plan
• HSA options