Senior Machine Learning Engineer - Remote, United States - Zillow Careers

Description

The Zillow Group's Search & Conversational AI team helps millions of people search and find the home of their dreams.

This team uses AI to help customers express their search queries in natural language and easily navigate to the results to find homes of their dreams.

This team drives innovation by providing an engaging, personalized search experience to our customers using ML models and data updated in near real-time.

The team is now building scalable solutions for a state-of-the-art context-aware conversational AI system to help customers navigate complex real estate journeys.

Recently, this team launched Natural Language Search, a first in the real estate industry to transform the way users search for their home.

Zillow is looking for a Senior Machine Learning engineer to join the Search team.

This is a high-impact position that shapes the future of search in the real-estate domain by influencing multiple Zillow Group brands, including Zillow, Trulia, and Street Easy.

They will be hands-on in prototyping ideas, conducting analyses, and evaluating and deploying models to Zillow's highly scalable infrastructure platforms.

Zillow is creating a chatbot-based consumer experience using Large Language Models for summarization and response generation. Create an engaging experience using language models to guide and understand customer queries
Learn from customer data and build ranking models to create a personalized search experience
Use vector embedding search and information retrieval techniques to find relevant data
Manage cost vs performance tradeoffs and make the systems operationally efficient
Be the focal point for science projects, coordinating deliverables, writing papers, modeling, authoring designs, and creating science plans
This role has been categorized as a Remote position.

"Remote" employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company.

S. employees may live in any of the 50 United States, with limited exceptions.

In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.

Actual amounts will vary depending on experience, performance and location.

As a Machine Learning engineer, you are a roll-up-the-sleeves and get-it-done researcher in machine learning with an understanding of natural language processing fundamentals.

5+ years of hands-on experience building ML/AI systems for search advanced information retrieval, ranking, or recommender system
~ Expertise in machine learning tools and packages like Scikit-learn, SciPy, Tensorflow, Keras, etc.
~ Expertise with large-scale distributed data processing systems such as Hive, Hadoop, Spark, etc.
~ Strong SQL skills and experience with data manipulation tools like Pandas, Numpy, etc.
~ Familiarity with different Transformer based architectures and their applications
~ Knowledge of Kubernetes-based tools for machine learning like Kubeflow and KServe
~ Experience with monitoring and logging tools that integrate with Kubernetes
~ Experience with monitoring and logging tools that integrate with Kubernetes
~ Fluent in building fine-tuned language models for solving domain-specific problems
~ As the most-visited real estate website in the United States, Zillow and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.

These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off.

We're also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

If you have a disability or special need that requires accommodation, please contact us at .