LEAD AI ENGINEER

At Ants, we are partnering with a well-funded, early-stage startup in Stockholm to find a Lead AI Engineer. 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 • Design end-to-end machine learning architectures, including data pipelines, feature engineering, model training, real-time serving, and evaluation systems • Build scalable personalization and relevance systems that process high-volume, sequential behavioral data in real time to power context-aware content delivery at scale • Develop high-velocity model training pipelines capable of learning from large-scale heterogeneous datasets, enabling rapid experimentation while maintaining production-grade rigor and reliability • Design and operate low-latency model serving infrastructure that supports seamless version rollouts, traffic management, and feature transitions with zero user-visible disruption • Create comprehensive experimentation and evaluation platforms, combining offline metrics, online A/B testing, and integrated tooling to provide continuous, data-driven visibility into platform improvements • Establish ML engineering standards around code quality, reproducibility, monitoring, and incident response that will be inherited by the broader engineering team Minimum Qualifications • MSc in Machine Learning, Computer Science, Statistics, or a directly related quantitative field from KTH, Chalmers, ETH Zurich, EPFL, or an institution of equivalent standing • 3 or more years of industry experience designing and shipping production ML systems at scale; architectures you originated, not contributed to • Demonstrated experience working in or alongside early-stage, fast-