All Details of Green Card Application:
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Case Number: A-22031-05277
Fiscal year: 2023
Fiscal Year
2023
Case Number
A-22031-05277
Case Status
Certified
Received Date
2022-03-17
Decision Date
2023-01-19
Refile
N
Original File Date
2023-01-01 08:13:34
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
6448
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
P10021209488414
PW SOC Code
15-1133
PW SOC Title
Software Developers, Systems Software
PW Skill Level
Level III
PW Wage
140920.00
PW Unit of Pay
Year
PW Wage Source
OES
PW Determination Date
2022-01-18
PW Expiration Date
2022-06-30
Wage Offer From
180000.00
Wage Offer To
0.00
Average Salary
180000.00
Wage Unit of Pay
Year
Worksite Address 1
1501 4th Avenue
Worksite Address 2
Suite 1900
Worksite City
Seattle
Worksite City Slug
seattle
Worksite State
WASHINGTON
Worksite Postal Code
98101
Job Title
Senior Machine Learning Engineer
Job Title Slug
senior-machine-learning-engineer
Minimum Education
Master's
Major Field of Study
Computer Science, Mechanical Engineering or in 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 Science, Mechanical 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
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 Masters or foreign equivalent degree in Computer Science, Mechanical Engineering 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. Python;br 2. Supervised machine learning algorithms including linear regression, logistic regression, random forest, and boosting to explain the statistical relationship between independent variables and predict dependent variables;br 3. Unsupervised machine learning algorithms including kmeans clustering and hierarchical clustering to determine different clusters and similarity within the cluster;br 4. Statistical models;br 5. Data visualization tools;br 6. SQL like languages to query data and handling big datasets in database platforms; andbr 7. Mass Media data.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
2021-11-05
SWA Job Order End Date
2021-12-09
Sunday Edition Newspaper
Y
First Newspaper Name
The Seattle Times
First Advertisement Start Date
2021-11-07
Second Newspaper Ad Name
The Seattle Times
Second Advertisement Type
Newspaper
Second Ad Start Date
2021-11-14
Employer Website From Date
2023-01-01 08:13:34
Employer Website To Date
2023-01-01 08:13:34
Professional Organization Ad From Date
2021-11-02
Professional Organization Advertisement To Date
2021-11-15
Job Search Website From Date
2021-11-02
Job Search Website To Date
2021-11-15
Employee Referral Program From Date
2023-01-01 08:13:34
Employee Referral Program To Date
2023-01-01 08:13:34
Local Ethnic Paper From Date
2021-11-05
Local Ethnic Paper To Date
2021-11-11
Radio/TV Ad From Date
2023-01-01 08:13:34
Radio/TV Ad To Date
2023-01-01 08:13:34
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
MECHANICAL ENGINEERING
Foreign Worker Years of Education Completed
2017
Foreign Worker Institution of Education
SHANGHAI JIAO TONG UNIVERSITY
Foreign Worker Education Institution Address 1
NO 800 DONGCHUAN ROAD MINHANG DISTRICT
Foreign Worker Education Institution Address 2
Foreign Worker Education Institution City
SHANGHAI
Foreign Worker Education Institution State/Province
Foreign Worker Education Institution Country
CHINA
Foreign Worker Education Institution Postal Code
200240
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