Senior Machine Learning Engineer II, Search & Recommendations Ranking @Instacart

Overview

The role involves working with Instacart's Search & Personalization ML team to build state-of-the-art ranking systems that integrate search, discovery, recommendations, and ads. The focus is on optimizing the shopping experience and increasing customer retention.

Key Responsibilities

• Architect the ranking backbone for query understanding and personalization.
• Design a search autosuggest system optimized for relevance.
• Create long-horizon objective functions and uplift models to enhance incremental value.
• Develop production-grade Multi-Task Learning systems to analyze relevance and risk.
• Own the inference layer, setting goals for re-ranking and latency optimization.
• Advance evaluation practices for tracking incremental GTV and retention.
• Collaborate with various teams to translate business goals into effective ranking policies.
• Mentor ML engineers to build expertise in ranking and scalable systems.

Requirements

• 5+ years of experience applying machine learning at scale, including 3+ years in technical leadership.
• Proven success improving ranking or recommendation systems in production.
• Strong coding skills in Python and fluency in data manipulation with SQL/Pandas.
• Graduate degree (Masters or PhD) in a relevant field such as machine learning or computer science.
• Excellent analytical and cross-functional communication skills.

Benefits

Instacart offers competitive compensation and benefits, including a new hire equity grant and annual refresh grants.

Location

This role is remote, open to candidates based in the United States.

How to Apply

Interested candidates should follow the application process as indicated in the job listing.