Ads Conversion Modeling, Machine Learning Engineering Manager

Responsibilities

• Define the team's vision, set strategic direction, and execute a technical roadmap for conversion modeling.
• Lead and mentor a high-performing team: recruit, mentor, and retain top ML talent.
• Oversee model development lifecycle from ideation to deployment, ensuring high standards of ML performance.
• Collaborate cross-functionally with PMs, data scientists, and engineering teams.
• Innovate in ML architecture for conversion prediction using deep learning and advanced techniques.

Requirements

• 2+ years building and managing high-performing machine learning teams (tech lead experience considered).
• Deep hands-on experience with ML models in large-scale production systems.
• Experience with ads conversion modeling, ranking (heavy ranker), and recommendations.
• Expertise in model architectures (deep learning, ranking, recommendation, conversion modeling).
• Proficiency with ML frameworks (TensorFlow, PyTorch).
• End-to-end ML lifecycle: training, testing, deploying production models.
• Data pipelines for large-scale data generation and processing.
• Ads domain: interaction with ranking, bidding, auction, retrieval systems.
• Strategic thinking, impact-driven mindset, exceptional communication.

Preferred

• Ads modeling or engagement prediction models experience.

Compensation and Benefits

• Base salary: $230,000—$322,000 USD.
• Equity (restricted stock units).
• Comprehensive health benefits, 401k matching, flexible vacation, paid parental leave, etc.
• 100% remote opportunity.