Staff Machine Learning Manager

What you'll do

• Build and lead the ML function for Accelerate
• Own the entire ML stack from roadmap definition to hiring and shipping models into production
• Architect and build foundational ML capabilities for cross-channel intelligence that autonomously optimizes marketing spend
• Build cross-channel budget allocation engine optimizing aggregate ROAS
• Develop bid optimization and spend pacing algorithms across platforms
• Build multi-touch attribution models and incrementality testing frameworks
• Predict campaign performance and build anomaly detection for underperforming campaigns
• Build audience segmentation and lookalike modeling across channel boundaries
• Predict creative asset performance and identify creative fatigue signals
• Work closely with engineering leadership, product, data engineering, and platform engineering teams

Requirements

• 8+ years in ML/Data Science
• At least 1 year in a tech lead or management role building and shipping ML systems in production
• Strong ML breadth with depth in at least one of: optimization algorithms, recommender systems, time-series forecasting, causal inference, reinforcement learning, or auction/marketplace ML
• Hands-on technical leader: able to architect ML systems, review model code, and mentor engineers
• Production ML experience: taken models from research to production, dealt with data quality issues, understands gap between offline metrics and business impact
• Ads/MarTech domain experience is a strong plus: bid optimization, budget allocation, attribution, audience targeting, or media mix modeling at an ad platform, DSP, or marketing platform

Tech stack

Benefits