HyperCube

HyperCube is pioneering a Deep Learning platform for information retrieval. We provide customers with DL search, recommendation, and personalization capabilities that until now have been in the hands of a few large tech giants. Our team includes founders of multiple startups, CS professors, and world-class engineers formerly from Amazon, Google & Facebook. We’re looking for a distributed systems engineer who is an expert of database internals, and well-versed in information retrieval. If you’re excited about hard problems at the intersection of AI/ML, search engines, and databases, if you like moving fast, and feel restless when a day goes by without attaining something impactful, it’s an opportunity to join an exciting startup as one of the early employees. You should have: * At least 4 years of experience as a Software Engineer * Extensive experience in database internals and information retrieval * Experience in building web-scale services and distributed systems * Proficiency in at least one scripting language, such as Python * Proficiency in at least one compiled language, such as C++. While not necessary, it would also help to have experience with either embeddings, nearest-neighbor search, productionizing ML models, or DL frameworks (such as TensorFlow, PyTorch).