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Case Number: A-22125-51156

Fiscal year: 2023

Fiscal Year

2023

Case Number

A-22125-51156

Case Status

Certified

Received Date

2022-05-27

Decision Date

2023-02-06

Refile

N

Original File Date

2023-01-01 08:09:19

Previous SWA Case Number State

Schedule A Sheepherder

N

Employer Name

TWITTER, INC.

Employer Name Slug

twitter-inc

Employer Address 1

1355 MARKET ST.

Employer Address 2

SUITE 900

Employer City

SAN FRANCISCO

Employer City Slug

san-francisco

Employer State

CALIFORNIA

Employer State Slug

california

Employer Country

UNITED STATES OF AMERICA

Employer Postal Code

94103

Employer Phone

415-222-9670

Employer Number of Employees

5652

Employer Year Commenced Business

2006

NAICS Code

541511

FW Ownership Interest

N

Employer Contact Name

Kayla Arroyave

Employer Contact Address 1

1355 Market Street

Employer Contact Address 2

Suite 900

Employer Contact City

San Francisco

Employer Contact State/Province

CALIFORNIA

Employer Contact Country

UNITED STATES OF AMERICA

Employer Contact Postal Code

94103

Employer Contact Phone

630-605-0839

Employer Contact Email

karroyave@twitter.com

Agent Attorney Name

Natalie Joy L AngPinlac

Agent Attorney Firm Name

Corporate Immigration Partners LLP

Agent Attorney Phone

4157717500

Agent Attorney Address 1

465 California Street

Agent Attorney Address 2

Suite 700

Agent Attorney City

San Francisco

Agent Attorney State/Province

CALIFORNIA

Agent Attorney Country

UNITED STATES OF AMERICA

Agent Attorney Postal Code

94104

Agent Attorney Email

ustwitter@cipllp.com

PW Track Number

P10021279626727

PW SOC Code

15-1133

PW SOC Title

Software Developers, Systems Software

PW Skill Level

Level II

PW Wage

119350.00

PW Unit of Pay

Year

PW Wage Source

OES

PW Determination Date

2022-04-04

PW Expiration Date

2022-07-03

Wage Offer From

200000.00

Wage Offer To

0.00

Average Salary

200000.00

Wage Unit of Pay

Year

Worksite Address 1

1501 4th Ave.

Worksite Address 2

Suite 1900

Worksite City

Seattle

Worksite City Slug

seattle

Worksite State

WASHINGTON

Worksite Postal Code

98101

Job Title

Sr. Machine Learning Engineer

Job Title Slug

sr-machine-learning-engineer

Minimum Education

Bachelor's

Major Field of Study

Computer Engineering, Computer Science, or in a related field

Required Training

N

Required Experience

Y

Required Experience Months

36

Accept Alternative Field of Study

Y

Accept Alternative Major Field of Study

Computer Engineering, Computer Science, or in a related field

Accept Alternative Combination

N

Accept Alternative Combination Education

Accept Alternative Combination Education Years

Accept Foreign Education

Y

Accept Alternative Occupation

Y

Accept Alternative Occupation Months

36

Accept Alternative Job Title

In the job offered or in a computerrelated occupation

Job Opportunity Requirements Normal

N

Foreign Language Required

N

Specific Skills

The position requires a Bachelors or foreign equivalent degree in Computer Engineering, Computer Science or in related field and 3 years of experience in the job offered or in a computerrelated occupation.br br Special Requirements Position requires 3 years of experience in each of the following skillsbr br 1. Large scale data processing and handling of terabytesized datasets using query languages like SQL;br 2. Running AB experiments and measuring statistical movement of product metrics through empirical results and extensive data analysis;br 3. Owning End to End data ingestion, sampling, and processing pipelines to produce data needed to power dashboards, train machine learning models, and data warehousing;br 4. Machine Learning techniques and frameworks such as data discretization, normalization, linear regression, decision trees, andor deep neural networks;br 5. Building and serving classification models on huge, unbalanced datasets;br 6. Cuttingedgeapplied Natural Language Processing NLP techniques like transformers, language models, andor language generation;br 7. Writing efficient Python code and familiarity with one or more deep learning frameworks like Tensorflow or Pytorch; andbr 8. Writing efficient, reproducible, and extensible code using languages like Python and Java.br br Employment and background checks may be required.

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

2022-03-07

SWA Job Order End Date

2022-04-08

Sunday Edition Newspaper

Y

First Newspaper Name

The Seattle Times

First Advertisement Start Date

2022-03-06

Second Newspaper Ad Name

The Seattle Times

Second Advertisement Type

Newspaper

Second Ad Start Date

2022-03-13

Employer Website From Date

2023-01-01 08:09:19

Employer Website To Date

2023-01-01 08:09:19

Professional Organization Ad From Date

2022-03-03

Professional Organization Advertisement To Date

2022-03-16

Job Search Website From Date

2022-03-03

Job Search Website To Date

2022-03-16

Employee Referral Program From Date

2023-01-01 08:09:19

Employee Referral Program To Date

2023-01-01 08:09:19

Local Ethnic Paper From Date

2022-03-11

Local Ethnic Paper To Date

2022-03-17

Radio/TV Ad From Date

2023-01-01 08:09:19

Radio/TV Ad To Date

2023-01-01 08:09:19

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

Bachelor's

Foreign Worker Information: Major

COMPUTER ENGINEERING

Foreign Worker Years of Education Completed

2013

Foreign Worker Institution of Education

THE BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE

Foreign Worker Education Institution Address 1

VIDYA VIHAR

Foreign Worker Education Institution Address 2

Foreign Worker Education Institution City

PILANI

Foreign Worker Education Institution State/Province

RAJASTHAN

Foreign Worker Education Institution Country

INDIA

Foreign Worker Education Institution Postal Code

333031

Foreign Worker Experience with Employer

N

Foreign Worker Employer Pays for Education

N

Foreign Worker Currently Employed

Y

Employer Completed Application

N

Preparer Name

Natalie Joy L AngPinlac

Preparer Title

Partner

Preparer Email

ustwitter@cipllp.com

Employer Information Declaration Name

Kayla Arroyave

Employer Information Declaration Title

Global Mobility Associate