Senior Machine Learning Engineer, Ads Response Prediction
Core
Develop and optimize ML models for Instacart's ads ecosystem, focusing on pCTR modeling, debiasing, and multi-task learning to improve ad relevance and revenue.
Role type
Senior research-leaning machine learning engineer (ads ranking/prediction)
Builds
Production ML models for ads ranking, retrieval, and bidding within Instacart's marketplace
Domain
Grocery delivery, online advertising, machine learning
Deliverable
production ML models
Required skills
CTR/conversion prediction modeling, causal inference, debiasing techniques (MNS, IPW), multi-task learning, sequence modeling, Python, PyTorch/TensorFlow/JAX, SQL, Spark
Preferred skills
Ads ranking/auction systems, autoregressive sequence models, generative retrieval, Semantic IDs, transfer learning, LLM-driven recommendation
Technologies
PyTorch, TensorFlow, JAX, Spark, Delta, DBT, Ray, TIGER
Responsibilities
Design debiasing techniques for training data, contribute to multi-domain multi-task model architectures, implement sequence modeling for generative retrieval, formulate ambiguous modeling problems from first principles, publish and present research findings
Seniority
Senior, hands-on IC with research focus
