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Case Number: A-21055-55329

Fiscal year: 2022

Fiscal Year

2022

Case Number

A-21055-55329

Case Status

Certified-Expired

Received Date

2021-04-27

Decision Date

2021-10-01

Refile

N

Original File Date

2022-01-01 10:14:23

Previous SWA Case Number State

Schedule A Sheepherder

N

Employer Name

ZILLOW, INC.

Employer Name Slug

zillow-inc

Employer Address 1

1301 SECOND AVENUE

Employer Address 2

FLOOR 31

Employer City

SEATTLE

Employer City Slug

seattle

Employer State

WASHINGTON

Employer State Slug

washington

Employer Country

UNITED STATES OF AMERICA

Employer Postal Code

98101

Employer Phone

2064707000

Employer Number of Employees

5700

Employer Year Commenced Business

2004

NAICS Code

531390

FW Ownership Interest

N

Employer Contact Name

Antonio Quintero

Employer Contact Address 1

535 Mission Street

Employer Contact Address 2

Suite 700

Employer Contact City

San Francisco

Employer Contact State/Province

CALIFORNIA

Employer Contact Country

UNITED STATES OF AMERICA

Employer Contact Postal Code

94105

Employer Contact Phone

4154007217

Employer Contact Email

immigration@zillowgroup.com

Agent Attorney Name

Eryne E Walvekar

Agent Attorney Firm Name

Fisher Phillips LLP

Agent Attorney Phone

2066822308

Agent Attorney Address 1

1201 Third Avenue

Agent Attorney Address 2

Suite 2750

Agent Attorney City

Seattle

Agent Attorney State/Province

WASHINGTON

Agent Attorney Country

UNITED STATES OF AMERICA

Agent Attorney Postal Code

98101

Agent Attorney Email

sea-immigration@fisherphillips.com

PW Track Number

P10020239788847

PW SOC Code

15-1133

PW SOC Title

Software Developers, Systems Software

PW Skill Level

Level III

PW Wage

145246.00

PW Unit of Pay

Year

PW Wage Source

OES

PW Determination Date

2021-02-01

PW Expiration Date

2021-06-30

Wage Offer From

200000.00

Wage Offer To

227200.00

Average Salary

213600.00

Wage Unit of Pay

Year

Worksite Address 1

535 Mission Street

Worksite Address 2

Suite 700

Worksite City

San Francisco

Worksite City Slug

san-francisco

Worksite State

CALIFORNIA

Worksite Postal Code

94105

Job Title

Machine Learning Engineer

Job Title Slug

machine-learning-engineer

Minimum Education

Master's

Major Field of Study

Computer Science, Software Engineering, Data Science or a related field

Required Training

N

Required Experience

N

Required Experience Months

Accept Alternative Field of Study

Y

Accept Alternative Major Field of Study

Computer Science, Software Engineering, Data Science or a related field

Accept Alternative Combination

Y

Accept Alternative Combination Education

Bachelor's

Accept Alternative Combination Education Years

5

Accept Foreign Education

Y

Accept Alternative Occupation

Y

Accept Alternative Occupation Months

36

Accept Alternative Job Title

No specific title see H.14

Job Opportunity Requirements Normal

N

Foreign Language Required

N

Specific Skills

Primary Requirements Masters or foreign equivalent degree in Computer Science, Software Engineering, Data Science, or a related field, and three years of experience in Developing and deploying machine learning systems into production; Software engineering methodology, including unit testing, test automation, continuous integration, code reviews, and design documentation; Machine learning techniques, including preprocessing data, training, and evaluating models; Writing productionlevel code in languages such as Python or Java; Cloud provider solutions such as AWS, GCP, or Bluemix; BigData ecosystems such as Hadoop, Hive, or SparkPySpark; and Extracting and processing data with RDBMS and NoSQL.br br Alternative Requirements Bachelors or foreign equivalent degree in Computer Science, Software Engineering, Data Science or a related field, and five years of progressive, postbaccalaureate experience in Developing and deploying machine learning systems into production; Software engineering methodology, including unit testing, test automation, continuous integration, code reviews, and design documentation; Machine learning techniques, including preprocessing data, training, and evaluating models; Writing productionlevel code in languages such as Python or Java; Cloud provider solutions such as AWS, GCP, or Bluemix; BigData ecosystems such as Hadoop, Hive, or SparkPySpark; and Extracting and processing data with RDBMS and NoSQL.br br Any suitable combination of education, training, or experience is acceptable.

Combination Occupation

N

Offered to Applicant Foreign Worker

Y

Foreign Worker Live on Premises

N

Foreign Worker Live in Domestic Service

N

Foreign Worker Live in Domestic Service Count

Professional Occupation

Y

Application for College/University Teacher

N

SWA Job Order Start Date

2020-12-18

SWA Job Order End Date

2021-01-19

Sunday Edition Newspaper

Y

First Newspaper Name

San Francisco Chronicle

First Advertisement Start Date

2021-01-03

Second Newspaper Ad Name

San Francisco Chronicle

Second Advertisement Type

Newspaper

Second Ad Start Date

2021-01-10

Employer Website From Date

2022-01-01 10:14:23

Employer Website To Date

2022-01-01 10:14:23

Professional Organization Ad From Date

2022-01-01 10:14:23

Professional Organization Advertisement To Date

2022-01-01 10:14:23

Job Search Website From Date

2021-01-05

Job Search Website To Date

2021-02-03

Employee Referral Program From Date

2022-01-01 10:14:23

Employee Referral Program To Date

2022-01-01 10:14:23

Local Ethnic Paper From Date

2021-01-06

Local Ethnic Paper To Date

2021-01-06

Radio/TV Ad From Date

2021-01-09

Radio/TV Ad To Date

2021-01-09

Employer Received Payment

N

Posted Notice at Worksite

Y

Layoff in Past Six Months

N

Country of Citizenship

INDIA

Foreign Worker Birth Country

INDIA

Class of Admission

H-1B

Foreign Worker Education

Master's

Foreign Worker Information: Major

DATA SCIENCE

Foreign Worker Years of Education Completed

2018

Foreign Worker Institution of Education

NEW YORK UNIVERSITY

Foreign Worker Education Institution Address 1

383 LAFAYETTE STREET

Foreign Worker Education Institution Address 2

Foreign Worker Education Institution City

NEW YORK

Foreign Worker Education Institution State/Province

NY

Foreign Worker Education Institution Country

UNITED STATES OF AMERICA

Foreign Worker Education Institution Postal Code

10003

Foreign Worker Experience with Employer

N

Foreign Worker Employer Pays for Education

N

Foreign Worker Currently Employed

Y

Employer Completed Application

N

Preparer Name

Eryne E Walvekar

Preparer Title

Attorney at Law

Preparer Email

sea-immigration@fisherphillips.com

Employer Information Declaration Name

Antonio Quintero

Employer Information Declaration Title

Senior Immigration Program Specialist