Machine Learning Search & Discovery

In addition to the shopping experience, customers come to Saks for inspiring editorial content, access to digital stylists, lifestyle experiences, and other world-class services. The company is currently in the midst of a dramatic expansion, driven by significant enhancements to its platforms and offerings, with the goal of becoming the preeminent destination for luxury internationally.Technology at Saks:With over $1B in annual revenue and $500M of new investment, Saks is expanding in all areas of software. We are recruiting world-class people at all levels, from new graduates to senior principal scientists. You will be working in a state-of-the-art environment where clickstream data, search data, and most other data is at your fingertips in an all-new data warehouse. The technologies that we use include Snowflake, Elasticsearch, and PyTorch.Responsibilities:Create real-time data pipelines to make product information available to the search engine.Use the Elasticsearch ecosystem to implement a search engine with world-class relevance.Design and implement indexing strategies to minimize latency.Develop computer vision methods to extract product characteristics from images.Create user interfaces that allow business experts to state constraints and objectives.Combine keyword-based and embedding-based matching to provide optimal search results.Design algorithms that learn from customer behavior to improve search continuously.Productionize algorithms in highly modular and reusable APIs.Do everything with world-class quality and reliability.Qualifications:Be fully vaccinated against COVID-19 and, if hired, present proof of vaccinationMaster’s degree in computer science or other quantitative area Minimum 3 years experience with Elastic Search or equivalent Excellent communication and interpersonal skills3 to 20+ years of relevant technical experienceUnderstand luxury online retail and identify opportunities for better search and discovery.Understand upstream systems that provide catalog and inventory data.Strong interest in e-commerce and strong desire to have a commercial impactHands-on experience developing search and/or discovery systemsPreferred: Relevant Ph.D.Preferred: Experience with cloud computing and deep learningPreferred: Experience in e-commerce or retailPreferred: Experience building high availability, low latency, and high throughput systemsPreferred: Experience collaborating closely with a distributed, international teamWhat We Offer:Diverse and inclusive environment with a strong commitment to equal opportunityCompetitive benefits packageConvenient and beautiful offices in Lower ManhattanLearning from top leaders previously at Amazon and other world-class organizationsStrong connections with academic and technical communities in New York and beyond.Your Life and Career at Saks:Exposure to rewarding career advancement opportunitiesA culture that promotes a healthy, fulfilling work/life balance Benefits package for all eligible full-time employees (including medical, vision and dental).