Grubhub

Search Data Science team is looking for a senior-level ML Engineer to help us drive search at Grubhub. Search team builds personalized recommender systems and other data products drive search-to-order conversion. Some of our projects, to give you an idea of what you could work on, are: * Counterfactual Evaluation: how would a change in our ranking algo affect conversion or revenue? * Counterfactual Learning: how can you use unbiased data from randomization to increase online metrics? * LTR: Making search more relevant and personalized * Bandits: how do you sample from the posterior of an arbitrary deep-learning model? * Online Learning: how can we learn incrementally instead of in batches? How do you update an embedding? * Multi-objective optimization. How can you balance conversion and revenue objectives? * Representation Learning: building a product graph from our catalog using large-scale language models * Semantic search: "chocolate milk" vs "milk chocolate" or not showing french fries and french toast of a "french" query Perks: * Salary + RSUs * Our projects get lots of visibility/exposure as our treatments are the front page of the app. * We run many live experiments and have a freedom to try new ideas and influence the business from the bottom-up. * The team values research: we have a generous conference budget and active paper reading group. * Unlimited PTO * GPUs Please reach out to me: aegg+whoshiring@grubhub.com