Senior Staff Machine Learning Engineer, Feed Relevance

Role overview This Senior Staff Machine Learning Engineer role focuses on Feed Relevance for a remote US-based organization, owning significant technical work on the ranking systems that shape what users see. The position combines deep modeling expertise with large-scale systems thinking, partnering with product and engineering to deliver measurable improvements to feed quality. It is a senior, high-impact IC role suited to an experienced ML engineer who enjoys both research-style experimentation and shipping at scale.

Responsibilities - Design, build, and improve machine learning models that rank and personalize feed content - Own the technical direction for relevance and ranking within the feed stack, including model and feature roadmaps - Partner with data engineering and platform teams to ensure reliable data pipelines and feature infrastructure - Design and analyze online and offline experiments, translating results into product and model decisions - Mentor other ML engineers and raise the technical bar through design reviews and shared best practices - Collaborate with product managers to define and prioritize relevance problems that move key metrics

Requirements - Significant industry experience as a machine learning engineer working on ranking, recommendation, or personalization - Deep familiarity with modern ML techniques such as large-scale supervised models, embeddings, and learning-to-rank approaches - Experience with production ML systems, including feature stores, training pipelines, and serving infrastructure - Strong programming skills and comfort navigating a large, polyglot codebase - Track record of partnering cross-functionally to land measurable impact in a remote team setting