Machine Learning Engineering Manager, Ads Conversion Modeling

What you'll do

• Define and execute a long-term technical roadmap for conversion modeling aligned with business objectives.
• Lead the end-to-end machine learning lifecycle from initial ideation through to production deployment.
• Architect and implement deep learning models for ranking, recommendation, and conversion prediction.
• Manage, mentor, and recruit high-performing engineering talent within the machine learning domain.
• Oversee large-scale data generation and processing pipelines to support model training and evaluation.
• Partner with cross-functional teams like Product Management and Data Science to align on engagement strategies.
• Optimize complex model architectures using frameworks like TensorFlow or PyTorch for the ads ecosystem.

What we're looking for

• Experience building and managing high-performing machine learning teams or as a technical lead.
• Deep hands-on experience training, evaluating, and deploying large-scale machine learning models in production systems.
• Expertise in ranking, recommendation, and conversion modeling architectures using deep learning.
• Proficiency with mainstream machine learning libraries such as TensorFlow and PyTorch.
• Experience orchestrating large-scale data generation and processing pipelines.
• Technical knowledge of how ranking models interact with ads systems like bidding, auction, and retrieval.
• Ability to develop and communicate a clear technical strategy aligned with business objectives.
• Strong interpersonal skills to collaborate with cross-functional partners including product managers and data scientists.