Machine Learning Engineering Manager, Core Ads Ranking

What you'll do

• Define and execute a technical roadmap for foundational models and user understanding.
• Oversee the full model development lifecycle from initial ideation to production deployment.
• Ensure high standards of machine learning performance, reliability, and robustness across all models.
• Recruit, mentor, and retain top machine learning talent within the organization.
• Foster a team culture centered on growth, collaboration, and technical excellence.
• Align with vertical and horizontal teams on strategy, priorities, and technical constraints.
• Lead initiatives in knowledge distillation, model calibration, and heuristic improvement.

What we're looking for

• 1+ years of management experience leading ML-focused teams.
• 6+ years of experience building and scaling machine learning models.
• 4+ years of hands-on experience with TensorFlow or PyTorch.
• Proven ability in training, evaluating, and deploying large-scale models across the end-to-end ML lifecycle.
• Experience working with foundational models, user understanding, or content understanding.
• Experience with Ads (preferred).