Machine Learning Engineer
Core
Build a supervised learning ranking model to predict which content creators will sell specific products using first-party affiliate conversion data and multi-modal content features.
Role type
Senior IC machine learning engineer (ranking/recommender systems)
Builds
Creator-to-product matching model and multi-modal content analysis model
Domain
Creator economy, affiliate marketing, e-commerce
Deliverable
production ML models
Required skills
supervised learning on tabular data, ranking and recommender systems, gradient-boosted methods, rigorous offline evaluation, Python, codebase development
Preferred skills
small-data regimes, fine-tuning pre-trained models, e-commerce or adtech domain, experiment tracking, MLOps
Technologies
Python, AWS, gradient-boosted methods (LambdaMART)
Responsibilities
Frame and build the ranking model architecture, build feature sets from campaign signals and content embeddings, define and run evaluation metrics including NDCG and revenue per view, own ablation studies to establish value, report on model performance at decision gates, integrate model into the platform
Seniority
Senior, hands-on IC
