Machine Learning Engineering Manager, Ads Engagement Modeling

What you'll do

• Define and execute a technical roadmap for engagement modeling that aligns with business objectives.
• Oversee the full machine learning model development lifecycle from initial ideation to production deployment.
• Recruit, mentor, and manage a high-performing team of machine learning engineers.
• Implement and optimize advanced deep learning architectures for engagement and conversion prediction.
• Partner with product managers and data scientists to align on engagement strategies and model KPIs.
• Develop and communicate technical strategies that address the needs of internal customers and company goals.
• Ensure high standards of performance, robustness, and scalability for all deployed AI solutions.

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.
• At least 4 years of hands-on experience with TensorFlow or PyTorch.
• Ability to develop and communicate a clear technical strategy aligned with business objectives.
• Experience implementing and optimizing model architectures using deep learning and advanced ML techniques.
• Strong interpersonal skills to communicate complex technical topics to diverse cross-functional audiences.
• Experience in the ads domain or engagement modeling is preferred.