Fiscal Year

2024

Case Number

A-23104-27862

Case Status

Certified

Received Date

2023-05-26

Decision Date

2024-06-07

Refile

N

Original File Date

2024-01-01 01:39:18

Previous SWA Case Number State

Schedule A Sheepherder

N

Employer Name

OCTOML, INC.

Employer Name Slug

octoml-inc

Employer Address 1

1000 N NORTHLAKE WAY

Employer Address 2

Employer City

SEATTLE

Employer City Slug

seattle

Employer State

WASHINGTON

Employer State Slug

washington

Employer Country

UNITED STATES OF AMERICA

Employer Postal Code

98103

Employer Phone

1 (703) 989-6097

Employer Number of Employees

92

Employer Year Commenced Business

2019

NAICS Code

541511

FW Ownership Interest

N

Employer Contact Name

Amanda Robles

Employer Contact Address 1

1000 N Northlake Way

Employer Contact Address 2

Employer Contact City

Seattle

Employer Contact State/Province

WASHINGTON

Employer Contact Country

UNITED STATES OF AMERICA

Employer Contact Postal Code

98103

Employer Contact Phone

+1 (703) 989-6097

Employer Contact Email

arobles@octoml.ai

Agent Attorney Name

Michael Boshnaick

Agent Attorney Firm Name

Fragomen, Del Rey, Bernsen Loewy, LLP

Agent Attorney Phone

3108203322

Agent Attorney Address 1

444 South Flower Street

Agent Attorney Address 2

Suite 500

Agent Attorney City

Los Angeles

Agent Attorney State/Province

CALIFORNIA

Agent Attorney Country

UNITED STATES OF AMERICA

Agent Attorney Postal Code

90071

Agent Attorney Email

mboshnaick@fragomen.com

PW Track Number

P10022162270773

PW SOC Code

15-1252.00

PW SOC Title

Software Developers

PW Skill Level

Level II

PW Wage

127338.00

PW Unit of Pay

Year

PW Wage Source

OES

PW Determination Date

2023-01-05

PW Expiration Date

2023-06-30

Wage Offer From

201400.00

Wage Offer To

255000.00

Average Salary

228200.00

Wage Unit of Pay

Year

Worksite Address 1

1000 N Northlake Way HEADQUARTER OFFICE

Worksite Address 2

May reside anywhere in the U.S. work remotely from home

Worksite City

Seattle

Worksite City Slug

seattle

Worksite State

WASHINGTON

Worksite Postal Code

98103

Job Title

Machine Learning Systems Engineer

Job Title Slug

machine-learning-systems-engineer

Minimum Education

Master's

Major Field of Study

Information Networking, Computer Science or related field of study.

Required Training

N

Required Experience

N

Required Experience Months

Accept Alternative Field of Study

N

Accept Alternative Major Field of Study

Accept Alternative Combination

N

Accept Alternative Combination Education

Accept Alternative Combination Education Years

Accept Foreign Education

Y

Accept Alternative Occupation

N

Accept Alternative Occupation Months

Accept Alternative Job Title

Job Opportunity Requirements Normal

Y

Foreign Language Required

N

Specific Skills

Knowledge of how to develop the next generation deep learning framework featuring builtin deep learning compiler optimizations; Knowledge of how to optimize deep learning models for computer vision on GPU; Knowledge of programming in CC and Python; Knowledge of implementing or optimizing linear algebra functions; Knowledge of Machine Learning Frameworks; Knowledge of CUDA, OpenCL, Machine Learning Systems, Compilers; Knowledge of computer systems, focusing on how computer systems execute programs, store information, and communicate, including the following machinelevel code and its generation by optimizing compilers, performance evaluation and optimization, computer arithmetic, memory organization and management, networking technology and protocols, and supporting concurrent computation; Knowledge of Probabilistic Graphical Model with a focus on an unified view for wide range of problems, enabling efficient inference, decisionmaking and learning in problems with a very large number of attributes and huge datasets, including these aspects The core representation, including Bayesian and Markov networks, and dynamic Bayesian networks, probabilistic inference algorithms, both exact and approximate, and learning methods for both the parameters and the structure of graphical models; Knowledge of Advanced Machine Learning Theory and Methods focusing on theoretical foundations of modern machine learning, as well as advanced methods and frameworks used in modern machine learning, including advanced machine learning methods such as nonparametric density estimation, nonparametric regression, and Bayesian estimation, as well as advanced frameworks such as privacy, causality, and stochastic learning algorithm; Knowledge of Computer Vision with a focus on the fundamental techniques used in computer vision, that is, the analysis of patterns in visual images to reconstruct and understand the objects and scenes that generated them, including image formation and representation, camera geometry, and calibration, computational imaging, multiview geometry, stereo, 3D reconstruction from images, motion analysis, physicsbased vision, image segmentation and object recognition.br br Any suitable combination of education, training, or experience is acceptable. The employer will accept any level of knowledge or proficiency in the specific skills listed in this section.br br May work from the companys headquarter office in Seattle, WA or reside anywhere in the U.S. and work remotely from home. May work at other U.S. locations not presently known.

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

2023-02-06

SWA Job Order End Date

2023-03-11

Sunday Edition Newspaper

Y

First Newspaper Name

The Seattle Times

First Advertisement Start Date

2023-02-26

Second Newspaper Ad Name

The Seattle Times

Second Advertisement Type

Newspaper

Second Ad Start Date

2023-03-05

Employer Website From Date

2024-01-01 01:39:18

Employer Website To Date

2024-01-01 01:39:18

Professional Organization Ad From Date

2023-02-27

Professional Organization Advertisement To Date

2023-03-09

Job Search Website From Date

2023-02-27

Job Search Website To Date

2023-03-09

Employee Referral Program From Date

2024-01-01 01:39:18

Employee Referral Program To Date

2024-01-01 01:39:18

Local Ethnic Paper From Date

2023-03-03

Local Ethnic Paper To Date

2023-03-03

Radio/TV Ad From Date

2024-01-01 01:39:18

Radio/TV Ad To Date

2024-01-01 01:39:18

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

F-1

Foreign Worker Education

Master's

Foreign Worker Information: Major

INFORMATION NETWORKING CONFERRED 12232020

Foreign Worker Years of Education Completed

2020

Foreign Worker Institution of Education

CARNEGIE MELLON UNIVERSITY

Foreign Worker Education Institution Address 1

5000 FORBES AVE.

Foreign Worker Education Institution Address 2

Foreign Worker Education Institution City

PITTSBURGH

Foreign Worker Education Institution State/Province

PA

Foreign Worker Education Institution Country

UNITED STATES OF AMERICA

Foreign Worker Education Institution Postal Code

15213

Foreign Worker Experience with Employer

N/A

Foreign Worker Employer Pays for Education

N

Foreign Worker Currently Employed

Y

Employer Completed Application

N

Preparer Name

Michael Boshnaick

Preparer Title

Partner

Preparer Email

mboshnaick@fragomen.com

Employer Information Declaration Name

Amanda Robles

Employer Information Declaration Title

VP of People Operations