Fiscal Year

2024

Case Number

A-22139-57773

Case Status

Withdrawn

Received Date

2022-07-08

Decision Date

2023-10-23

Refile

N

Original File Date

2024-01-01 00:08:59

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

415-771-7500

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

P10021341748423

PW SOC Code

15-1132

PW SOC Title

Software Developers, Applications

PW Skill Level

Level IV

PW Wage

145454.00

PW Unit of Pay

Year

PW Wage Source

OES

PW Determination Date

2022-06-09

PW Expiration Date

2022-09-07

Wage Offer From

175000.00

Wage Offer To

0.00

Average Salary

175000.00

Wage Unit of Pay

Year

Worksite Address 1

245 W. 17th Street

Worksite Address 2

Worksite City

New York

Worksite City Slug

new-york

Worksite State

NEW YORK

Worksite Postal Code

10011

Job Title

Machine Learning Engineer

Job Title Slug

machine-learning-engineer

Minimum Education

Master's

Major Field of Study

Computer Science, Electrical Engineering or in related field

Required Training

N

Required Experience

Y

Required Experience Months

48

Accept Alternative Field of Study

Y

Accept Alternative Major Field of Study

Computer Science, Electrical Engineering or in 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

48

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 Masters or foreign equivalent degree in Computer Science, Electrical Engineering or in related field and 4 years of experience in the job offered or in a computerrelated occupation.br br Special Requirements Position requires 4 years of experience in each of the following skillsbr br 1. Using SQLlike languages to query data and handling big datasets in database platforms including MySQL, Oracle, etc.;br 2. Using Python to build data quality frameworks, data pipelines, and analytical models;br 3. Algorithms, data structure, automation with in CICD pipelines, Docker, MapReduce, Airflow, etc.;br 4. Supervised machine learning algorithms including linear regression, logistic regression, random forest, and boosting trees to explain the statistical relationship between independent variables and predict dependent variables;br 5. Unsupervised machine learning algorithms including kmeans clustering and hierarchical clustering to determine different clusters and similarities within the cluster;br 6. Data visualization tools including but not limited to Tableau, AWS QuickSight for reporting, and dashboards to track KPIs and deliver insights into an understandable format;br 7. Building and training machine learning models in distributed systems including but not limited to Spark, GCP;br 8. Neural network including building DNN models, hyperparameter tuning, model hosting. Familiar with Tensorflow, Keras, or Pytorch; andbr 9. Data analyzing skills including data cleaning, feature embedding, feature engineering, dimensionality reduction.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

2022-03-23

SWA Job Order End Date

2022-04-22

Sunday Edition Newspaper

Y

First Newspaper Name

The New York Times

First Advertisement Start Date

2022-04-10

Second Newspaper Ad Name

The New York Times

Second Advertisement Type

Newspaper

Second Ad Start Date

2022-04-17

Employer Website From Date

2024-01-01 00:08:59

Employer Website To Date

2024-01-01 00:08:59

Professional Organization Ad From Date

2022-04-08

Professional Organization Advertisement To Date

2022-04-21

Job Search Website From Date

2022-04-08

Job Search Website To Date

2022-04-21

Employee Referral Program From Date

2024-01-01 00:08:59

Employee Referral Program To Date

2024-01-01 00:08:59

Local Ethnic Paper From Date

2022-04-11

Local Ethnic Paper To Date

2022-04-11

Radio/TV Ad From Date

2024-01-01 00:08:59

Radio/TV Ad To Date

2024-01-01 00:08:59

Employer Received Payment

N

Posted Notice at Worksite

Y

Layoff in Past Six Months

N

Country of Citizenship

CHINA

Foreign Worker Birth Country

CHINA

Class of Admission

H-1B

Foreign Worker Education

Master's

Foreign Worker Information: Major

ELECTRICAL ENGINEERING

Foreign Worker Years of Education Completed

2015

Foreign Worker Institution of Education

WASHINGTON UNIVERSITY

Foreign Worker Education Institution Address 1

1 BROOKINGS DRIVE

Foreign Worker Education Institution Address 2

Foreign Worker Education Institution City

ST. LOUIS

Foreign Worker Education Institution State/Province

MO

Foreign Worker Education Institution Country

UNITED STATES OF AMERICA

Foreign Worker Education Institution Postal Code

63130

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

ABBY JONES

Employer Information Declaration Title

GLOBAL MOBILITY ASSOCIATE