Director, Machine Learning Engineering - Surfaces Foundation

Tasks

• Adopt AI-assisted development tools
• Build targeting serving and evaluation systems
• Define technical vision for ML infrastructure
• Develop scalable recommendation ranking systems
• Drive incremental ML platform evolution
• Lead ML engineering teams for personalization platforms
• Make architectural decisions in production
• Partner with product and data science for prioritization
• Recruit develop and mentor engineering leaders

Perks/Benefits

• Career growth
• Flexible working hours
• International team collaboration
• Leadership development
• Remote work
• Supportive team culture

Skills/Tech-stack

AI Assisted Development | Architecture | Evaluation | Machine Learning | Model Serving | Personalization | Platform Engineering | Production Engineering | Ranking Systems | Recommendation Systems | Targeting