Ads Conversion Modeling, Machine Learning Engineering Manager

???? Description

• Define team vision and roadmap for conversion modeling in Ads.
• Build and deploy production ML models for user conversions.
• Architect ranking/recommendation models for ads.
• Orchestrate large-scale data pipelines for training.
• Lead cross-functional collaboration with PM, DS, and Eng.
• Drive end-to-end ML lifecycle from ideation to deployment.

???? Requirements

• 2+ years leading high-performing ML teams (Ads domain preferred)
• Deep hands-on ML: training, evaluating, deploying large-scale models
• Ads domain: conversion modeling, ranking, and recommendations
• Proficient with TensorFlow and PyTorch
• Set and execute a technical strategy and roadmap
• Strong communication and cross-functional collaboration

???? Benefits

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

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.