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Machine Learning Engineer

Location: San Francisco (San Francisco)         posted: 08.26.20

Zillow, Inc. is seeking a Machine Learning Engineer for its San Francisco, California office. 

Job Duties: Build highly parallelized, big data, machine-learning applications in the cloud. Build consumer-facing
products powering Zillow's industry-leading online marketplace. Provide technical guidance to data scientists, 
engineers, and analysts. Design and code highly scalable, machine learning applications processing large 
volumes of data. Develop and implement technical vision in collaboration with others. Deliver production-ready 
testable code in small iterations by following agile processes. Participate in the entire development lifecycle of 
Zillow's machine learning platform, from concept to release. Participate in all phases of quality assurance and 
defect resolution.

Requirements: Master's or foreign equivalent degree in Computer Science, Intelligent Information Systems, or a
related field. Also requires education or experience in: Applying experimental methodologies, statistics, 
optimization, probability theory, and machine learning algorithms using software and statistical languages; Deep 
neural networks and deep learning frameworks such as PyTorch and Tensorflow; Building deep learning models; 
Designing and implementing text-based search algorithms integrated with personalized and diverse search results; 
Data-driven techniques in language technologies in sound statistical methodology, including statistical properties of 
words, sentences, documents and whole languages; Implementing and experimenting with methods for learning 
behavioral policies supervised by reinforcement, demonstrations and/or intrinsic curiosity; and Applying probabilistic 
graphical models to solve complex real-world problems.

Job Order number must be indicated on your response.

Please send resume to:

Job # P717125
Zillow, Inc.
Sarah Nelson
535 Mission Street, Suite 700
San Francisco, CA 94105
Or email:

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