Job Opportunities API

AI ENGINEER, PERSONALIZATION Stockholm · On-Site · Full-Time · Immediate Start Who We Are We are a well-funded, early-stage technology company on a mission to fundamentally redefine the way the world searches, discovers, and transacts, built on a philosophy that puts the user first at every step.   The user is not simply a means of transaction. They are a valued participant whose data works for them, not against them, enriching their world and their own experience within it, with them retaining full control.   Our mission is underpinned by proprietary, patent-pending technology built on a novel engine and system. The Problem You Will Be Solving The internet was built to inform the many, not to serve the individual. Platforms optimize for engagement, extraction, and consumption at global scale. AI has made this model even more efficient, with the user still largely remaining the input, not the full beneficiary.   The problem is not information. The world has never had more. The problem is that people give away a lifetime of data without receiving the personalized experience it should enable.   People should not have to search. They should simply find. Who You Are •       Highly talented and motivated to build products with people, for people •       You thrive in zero-to-one environments and find genuine satisfaction in creating from scratch •       A fast-paced thinker with a relentless desire to learn, improve, and raise the standard around you •       Able to inspire, elevate, and collaborate; you make the people around you better •       A great communicator; you express complex ideas with clarity, precision, and confidence across all levels of the organization •       Able to transform ideas into working systems and technical milestones with light speed and precision •       Highly ambitious and action-driven; you thrive under pressure and find genuine energy in working at the edge of what is considered possible •       Capable of designing and building production-grade systems in a fourth of the time most experienced and “sane” professionals would consider possible         What You Will Do •       Build personalization systems that combine behavioral modeling, dynamic user representations, and real-time context-aware content delivery •       Design and operate feature engineering pipelines that transform high-volume behavioral event streams into model-ready inputs within the latency and reliability constraints •       Build recommendation systems that scale seamlessly from cold-start to data-rich production environments without requiring architectural changes •       Implement exploration-exploitation frameworks such as contextual bandits, online learning, or reinforcement learning approaches that continuously optimize content delivery without heavy offline retraining cycles •       Build feedback and learning infrastructure that translates user interactions into measurable model improvements on a continuous basis •       Design evaluation frameworks capable of distinguishing genuine personalization quality from overfitting to easily measured proxy metrics