Senior Machine Learning Engineer II, Ads Response Prediction @Instacart

Overview

The role involves leading the design and development of core machine learning models for Instacart’s Ads Response Prediction team. This research-focused position emphasizes theoretical problem formulation, training methodology, and model quality.

Key Responsibilities

• Lead research and development of pCTR and conversion prediction models.
• Design and implement debiasing techniques to address systematic prediction biases.
• Contribute to the next-generation Multi-Domain Multi-Task model architecture.
• Drive sequence modeling initiatives including the TIGER generative retrieval system.
• Collaborate with the broader ML community on Foundation Models.
• Formulate and scope ambiguous modeling problems from first principles.
• Publish and present findings internally, contributing to the team’s culture of technical rigor.

Requirements

• Graduate degree (Masters or PhD) in machine learning, statistics, computer science, or related field.
• 6+ years of combined academic and industry experience applying ML to ranking, recommendation, or prediction problems.
• Deep understanding of CTR/conversion prediction modeling.
• Proficient in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Strong written and verbal communication skills.

Benefits

Instacart provides highly competitive compensation and benefits, with remote work flexibility and eligibility for equity grants.

Location

Remote - United States

How to Apply

For applications, please ensure to review our Flex First remote work policy.