At Qloo, our cutting-edge Taste AI technology leverages extraordinary amounts of data—over half a billion records of public figures, places, music artists, media, brands, and more, plus a globe-spanning consumer behavior and sentiment database—to unearth deep insights about consumer preferences.
From understanding global travel trends to curating the perfect restaurant recommendation based on your unique tastes, our Taste AI engine sifts through the noise to find the signals that matter.
And the best part? Qloo’s API suite is powered by cultural entities, not personal identities—ensuring our insights are derived without relying on personally identifiable information.
As we expand our investment in LLMs and AI agents, we are building the next generation of intelligent systems that combine generative models with structured taste intelligence—bringing reliability, explainability, and real-world grounding to AI applications.
As a Machine Learning Engineer reporting to the LLM Research Lead, you will operate at the intersection of large language models, recommendation systems, and Qloo’s proprietary taste graph.
You will work closely with Research and Data Engineering teams to design and deploy systems that integrate LLMs with structured cultural intelligence. This includes building production-ready ML systems, experimenting with new model architectures, and developing novel approaches to grounding generative AI in real-world data.
This role is ideal for someone who enjoys both research-adjacent work and shipping production systems—and wants to shape how LLMs interact with structured knowledge at scale.
Qloo's Taste AI decodes consumer preferences.
We are a leading AI-powered personalization engine for cultural preferences, providing completely anonymized consumer taste data and recommendations for leading companies in the tech, entertainment, publishing, retail, travel, hospitality and CPG sectors. Qloo’s proprietary Taste AI predicts consumers' preferences and tastes across over a dozen major categories, including music, film, television, podcasts, dining, nightlife, fashion, consumer products, books, and travel.
Launched in 2012, Qloo combines the latest in machine learning, theoretical research in Neuroaesthetics, and one of the largest pipelines of detailed taste data —and makes all of this intelligence available through an API. By allowing companies to understand and connect with their target customers more effectively, Qloo helps its clients solve real-world problems such as driving sales, saving money on media buys, choosing real estate locations, and building brands.
Qloo is the parent company of TasteDive, a cultural recommendation engine and social community that allows users to discover what to watch, read, listen to, and play based on their existing unique preferences.
