Lead Search Relevancy Engineer at Course Hero

Course Hero is scaling! We are looking for a Lead / Staff Search Relevancy engineer to take ownership of the design and implementation of Course Hero’s consumer-facing site search, and lead the development of search relevancy and ranking algorithms for understanding user intent, defining matching strategies, retrieving relevant results, and delivering an engaging search experience. You’ll be part of the multi-functional Search and Discovery pod that is responsible for building personalized search, recommendations, and browsing experiences to help millions of customers (students and educators) discover relevant course-specific study resources that help them get unstuck and graduate confident and prepared.

As a staff level engineer, you’ll be expected to take the lead on multiple projects and be involved in every step of the process. We expect you to thrive in a fast-paced, high-growth environment, and adapt to constantly evolving business needs. You can view these videos to learn more about our engineering culture, and our company mission.

Here are some ways you’ll make an impact

• Design and develop components to deliver personalized search experience and improve search engine powering Course Hero search for millions of customers with diverse, long-tail search intents.
• Use Elasticsearch and ML/NLP techniques to solve challenging problems in relevance, vertical selection and ranking, query understanding, and semantic matching.
• Evaluate and extend existing search architectures and identify optimizations in terms of indexing, search and query performance tuning.
• Collaborate cross-functionally with ML experts, frontend designers, and product owners to ideate, execute, and deliver compelling and personalized intelligent search experiences.

Are you our Lead / Staff Search Relevancy Engineer?

• 5+ years experience developing search algorithms using search platforms (e.g. Elastic, Solr, Lucene).
• 2+ years experience in designing Elasticsearch indexes, mappings, queries using DSL, and writing server-side plugins.
• 3+ years of proven ability writing production code in Java, or Python or Golang.
• Background in information retrieval, data management, and Natural Language Processing.
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.

Bonus Points

• Exposure to a variety of machine learning algorithms and/or experience working with ML teams in the past
• Experience build services application using containerization, microservices, preferably in AWS
• Experience in working with Lambda Architecture Hadoop, MapReduce, Spark

Front row seat to Master Educator lectures – check out our Lecture Series videos

Benefits & Perks:

• Competitive salary and stock options
• Full medical coverage (medical, dental, vision)
• 401(k) program with match
• Education Reimbursement
• Quarterly team events and outings (Sporting Events, Escape Rooms, Go-Kart Racing, Karaoke, Bowling and much more)
• Free lunches twice a week, on-site cafe discount, plus an endless snack and drink supply
• Onsite gym – Pacific Shores Center – Classes – Pool – Spa – Rock Wall - Massages
• Commuter benefits, shuttle service from Redwood City, and cell-phone allowance
• 10K Local Move Program to move within 10 miles of our office
• 16 weeks of paid leave for maternity or paternity
• 8 hours per quarter paid time for volunteering for a cause of your choice
• Front row seat to Master Educator lectures – check out videos on our LinkedIn Career Page