Senior Machine Learning Engineer

Algoworks is seeking a Senior Machine Learning Engineer to design and build a high-scale offer recommendation system aimed at personalizing and ranking offers for millions of users. The role will involve working on propensity modeling, ranking systems, and personalization in a dynamic user environment with limited data.

Responsibilities:

• Design end-to-end offer recommendation pipeline
• Build personalized ranking systems for user-offer matching
• Predict CTR and engagement probability
• Use models like XGBoost / LightGBM
• Optimize ranking using NDCG, MRR, Precision@K
• Build features from user behavior, interaction signals, and context
• Handle sparse and noisy data
• Design strategies for new users and new offers
• Implement hybrid and fallback approaches
• Mitigate popularity and exposure bias
• Implement diversity and re-ranking strategies
• Define and track CTR, conversion, NDCG, AUC
• Continuously improve engagement metrics
• Build systems for millions of users
• Enable real-time or near real-time inference
• Strong experience in ML: classification, regression, propensity modeling
• Experience with recommendation systems and ranking models
• Hands-on with XGBoost, LightGBM
• Python, SQL, feature engineering
• Experience with MLOps and model deployment

Requirements:

• Strong experience in ML: classification, regression, propensity modeling
• Experience with recommendation systems and ranking models
• Hands-on with XGBoost, LightGBM
• Python, SQL, feature engineering
• Experience with MLOps and model deployment
• Experience with AWS SageMaker or Databricks
• Experience with LLM-based recommendation approaches
• A/B testing and experimentation knowledge