Machine Learning Engineer (Recommender Systems)
The best years of your career start here.
This is a full-time engineering role centered on execution. You will architect production AI systems alongside client teams, remediating complex bottlenecks where retrieval precision, model alignment, latency, and system reliability are mission-critical.
We hold a high bar for excellence; you will operate among elite peers who uphold these same rigorous engineering standards.
You will architect and operationalize end-to-end machine learning pipelines using Databricks and Spark, navigating critical trade-offs in model architecture, from Wide & Deep and Two-Tower systems to Transformer-based and deep sequential models like GRU4Rec.
Success requires the ability to technically justify architectural decisions with first-principles reasoning and clinical precision. This role accelerates your mastery through sophisticated technical challenges and immersion in high-impact, research-backed systems.
As a Machine Learning Engineer at Factored, you engineer AI solutions that drive measurable business impact for Fortune 500 companies.
You will solve real-world problems at scale, bridging the gap between theoretical deep learning and the robust production environments, defining how modern personalization ecosystems are deployed.
Selection Process
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Research | Our team has published at NeurIPS, ICML, NASA and more.
