Senior Machine Learning Engineer II, Ads Response Prediction
Core
Lead research and development of core ML models (pCTR, conversion prediction) powering Instacart's ads ecosystem, focusing on theoretical problem formulation, training methodology, and model quality.
Role type
Senior IC machine learning engineer (ads response prediction)
Builds
Production ML models for ads ranking, retrieval, and bidding
Domain
Grocery delivery / Online advertising / Machine Learning
Deliverable
production ML models
Required skills
CTR/conversion prediction modeling, causal inference, counterfactual reasoning, debiasing techniques (IPW, MNS), multi-task learning, sequence modeling, Python, PyTorch/TensorFlow/JAX, SQL, Spark
Preferred skills
Ads ranking/auction systems, autoregressive sequence models, generative retrieval, transfer learning/domain adaptation (LoRA), publication record in top-tier venues, mentoring
Technologies
PyTorch, TensorFlow, JAX, Spark, Delta, DBT, Ray, TIGER
Responsibilities
Lead research and development of pCTR and conversion prediction models; Design and implement debiasing techniques; Contribute to next-generation Multi-Domain Multi-Task model architecture; Drive sequence modeling initiatives; Collaborate on Foundation Models; Formulate and scope ambiguous modeling problems; Publish and present findings
Seniority
Senior, hands-on IC
