Director, Machine Learning Engineering - Surfaces Foundation

Tasks

• Align priorities across squads with product data science and engineering leadership
• Define technical vision for ML infrastructure targeting serving evaluation agent based systems
• Drive continuous delivery of ML platforms without disruptive rewrites
• Establish shared platform capabilities balancing infrastructure with product autonomy
• Lead ML engineering teams building personalization and recommendation platform systems
• Make production architectural decisions and resolve complex technical challenges
• Promote AI assisted development tools adoption across engineering teams
• Recruit develop and mentor engineering leaders and contributors

Perks/Benefits

• Career growth
• Collaborative international environment
• Flexible remote work
• GMT collaboration hours flexibility
• Leadership development
• Learning and innovation culture

Skills/Tech-stack

AI Assisted Development | AI-Assisted Development Tools | Architecture | Cross-Functional Collaboration | Cross-functional | Development tools | Distributed Systems | Engineering leadership | Functional collaboration | Language Processing | MLOps | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Personalization | Production Debugging | Ranking Systems | Recommendation Systems | Software Engineering | Software Engineering Leadership | Targeting