America's Job Portal
We are a VC-backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision‑making models to build the most engaging customer experiences for in‑store retail.
Our mission is to change retail forever through hyper‑personalised experiences that are both simple and beautiful.
We are looking for a Research Engineer to build decision‑making models for in‑store hyper‑personalisation, with an initial focus on learning from logged human interaction data in an offline setting. You will work closely with domain experts and engineers to develop contextual bandit and reinforcement learning approaches that can support both single‑step decisions and multi‑step customer journeys, with the potential to enable online learning over time.