Overview

The Search and Conversational AI Team owns the full search stack from auto complete to query understanding to retrieval and ranking. Our focus is to develop semantic and conversational search which can process natural language queries about real estate and assist users to find the best properties for their needs. We develop NLP, conversational and ranking platforms for search using state-of-the-art deep learning and LTR technologies.

About The Role

The Senior Machine Learning Engineer will design and build the next-generation search platform that will power search engines of Zillow Group. You will:
Participate in the technical direction for search engines at Zillow Group. Guide applied scientists and engineers in building search systems
Build machine learning models and systems in natural language processing (NLP), natural language understanding (NLU), semantic understanding, and intent classification
Build real-time low-latency machine learning to rank platforms
Enable applied scientists to iterate quickly and deploy NLP and learning to rank (LTR) machine learning models into production
Design features and build large-scale machine learning models to improve search relevance
Provide guidance in developing highly scalable algorithms based on state-of-the-art machine learning and deep learning NLP methodologies

Company:

Zillow Group

Qualifications:

Proven track record of successfully architecting and building highly available, low latency systems for high traffic applications
5+ years of experience as a software engineer
3+ years of experience building search engines
Strong knowledge of machine learning, Natural Language Processing
Master’s degree preferred

Educational level:

Master Degree

Level of experience (years):

Senior (5+ years of experience)

Tagged as: , , , , , ,

You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

About Zillow Group

Zillow Group houses a portfolio of the largest and most vibrant real estate and home-related brands on the Web and mobile.