About the company At Cameo, we make impossible connections possible. Our global platform allows fans to get personalized messages from their favorite stars and creators and through our Cameo for Business platform, all companies can now leverage the power of celebrity at scale. The key to our success? Our outstanding Cameo Fameo. The people behind the scenes, spreading joy to our talent and their fans - as well as their fellow colleagues - each and every day.
From product marketers to talent relations managers, software engineers and recruiters, the Cameo team is made up of the brightest minds in the biz. As we grow, our core values and startup mentality remain; we value creativity, hard work, collaboration, direct dialogue and feedback, and the continued development of our people. We are a fully distributed, highly connected company (TL;DR no company offices < plenty of company gatherings). For more information, please visit careers.cameo.com.
Our team is guided by four core values, and we like to share them early on to set the stage!
Roll out the Red Carpet - Do you welcome everyone just as they are?
Make it Memorable - When was the last time you said, "wow, that sh!t was cool!"
Run Through Walls - How do you create purpose from challenge?
Fight for Simplicity - Get comfortable with saying no and intentional when saying yes.
A few more things to consider:
👋 Our employees are called the Cameo Fameo, and our team means everything to us. Join smart, curious, humble individuals from all over the world and experience what it’s like to love where you work.
🏆 Humble brag - we’re honored to be named one of LinkedIn’s Top 50 Startups to Work For, voted one of America’s Best Startup Employers by Forbes, the #1 Most Innovative Social Media Company by Fast Company, and recently raised a $100M Series C.
🌎 Trade those commute hours for more time to do what makes YOU happy. We're a Work From Anywhere in the U.S company, with an entirely distributed team, so as long as you’ve got WiFi, you’re perfect to us. Don’t worry, we find ample time throughout the year to come together and celebrate our wins IRL!
🎁 The goods - competitive salaries, equity, health insurance, 401(k), wellness perks, unlimited PTO, Heads Down Hump Days 🐪 (aka no recurring meetings), and an annual talent show that will have you LOL-ing - just to name a few. Oh, and did we mention Cameo works with noteworthy actors, athletes, musicians, your favorite creators, global superstars, famous furry friends and more!?
Job description
As a Senior Search Engineer, you'll support our company mission by redefining how fans search and discover our content across multiple product areas. Whether it's improving our query understanding, utilizing our knowledge graph for metadata augmentation, optimizing precision through learning-to-rank, or aiding recall via query rewriting, you will have many opportunities to create memorable experiences for millions of fans. To achieve this, you will partner with product, analytics, and data platform teams to understand user pain points, build roadmaps, ship features, and evaluate our impact on business metrics.
What you'll be asked to do:
Augment our query rewriting techniques by utilizing synonyms, spell correction, knowledge graph augmentation, and query to query similarity.
Design and implement efficient ranking algorithms and models that optimize for multiple objective functions.
Build an offline system to understand the effects of ranking changes on our key metrics without needing to go to production.
Evolve our query understanding by combining named-entity recognition models with our user profile metadata.
Develop machine learning models to improve our ranking precision, classify incoming queries, and personalize the results based on a user's preferences and intent.
Work closely with partner teams to help establish Search as a platform and power products across the engineering organization.
Contribute to our nascent, federated GraphQL API by building scalable, documented, and long-lasting entry-points.
What you'll bring to the table:
5+ years of industry experience in information retrieval, natural language processing, and data mining.
Deep domain expertise with search-related technologies such as Elasticsearch, Solr or Lucene.
Experience with search ranking quality evaluation and metric-driven ranking tuning techniques.
Strong proficiency with backend development, service-oriented architecture, SQL/NoSQL datastores, and event-driven systems.
Knowledge of end-to-end ingestion pipelines, both batch and realtime, that are low latency and easy to reason about.
Self-motivation, great communication skills and a team player attitude.
Bonus: Experience with localization and multiple language support.
Bonus: Hands-on experience implementing production machine learning systems at scale in Python, Java, Scala, or similar languages.
Bonus: Understanding of Knowledge Graphs for document understanding and ranking.
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