Principal Machine Learning Engineer, Vision AI

📋 Description

• Architect and build the core platform
• Own the services that analyze video
• Build ML systems and drive model choices
• Build customer-facing use cases across Toast
• Set the technical direction
• Stay hands-on

🎯 Requirements

• Deep engineering experience: 10+ years building software, including distributed systems and data
• Backend and cloud expertise: AWS preferred, event-driven systems (e.g., Pulsar or Kafka), storage
• Experience with ML systems and video: understanding model training/tuning/serving, built and
• Pragmatic architecture: track record of designing systems that fit current stage, avoiding
• Zero-to-one experience: taking ambiguous ideas from prototype to production
• Hands-on keyboard: still write significant production code

🎁 Benefits

• Competitive compensation and benefits programs
• Cash compensation (overtime, bonus/commissions if eligible)
• Equity
• Benefits