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
Education
N/A
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