Machine Learning Engineering Manager - Ads Engagement Modeling

📋 Description

• Set technical vision and strategy for engagement modeling.
• Drive model lifecycle from ideation to deployment.
• Lead and mentor ML talent, fostering growth and excellence.
• Collaborate cross-functionally with PMs, DS, and eng teams on data and KPIs.
• Innovate in ML architectures for engagement prediction using deep learning.

🎯 Requirements

• 2+ years leading ML teams; ads domain preferred.
• Deep ML expertise; hands-on deployment at scale.
• End-to-End ML lifecycle: training, evaluating, deploying.
• 4+ years with TensorFlow or PyTorch.
• Strategic thinking; align tech strategy with business.
• Excellent communication and cross-functional collaboration.

🎁 Benefits

• 100% remote opportunity; offices in NY, SF, LA, Chicago.
• Competitive salary and equity options.
• Health benefits (medical, dental, vision) and home office stipend.
• Generous 401k matching.
• Flexible vacation policy.
• Paid parental leave (4+ months).