For the given job description <<Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As a Machine Learning Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer.
Software Engineer, Machine Learning - Reality Labs Responsibilities:
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the trade-offs of already shipped featuresML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe a go-to person to escalate the most complex onlineproduction performance and evaluation issues, that require an in-depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering team
Minimum Qualifications:
6+ years of experience in software engineering, or a relevant field or 4+ years of experience if you have a PhD2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in CC++ and Java, or experience with scripting languages such as Python, Perl, PHP, andor shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications:
Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applications
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.>> the resume: <<SummaryJessica, is highly skilled, accomplished IT software developer with strong experience in software design, development and implementation of enterprise billing and order management applications. She is experienced in using JAVA/J2EE technologies on Windows platform for reputed organisations and demonstrate strong experience in J2EE technologies such as Spring, JSP, JSON and servlets. Jessica also has good understanding of Python programming.
Technical SkillsJ2EE Framework :    Spring 2.5, Spring 3.0Servers:          Apache Tomcat 5.0, 5.5Database/Tools: MySQL, Oracle, Maria DB, SQL Server, NO SQL, PL/SQL, SQL Developer, ToadVersion Control: GIT.Web services:          SOAP, REST, UDDI, WSDL.Technologies : J2EE (Servlets, JSP, JDBC, EJB, Java Mail), Bootstrap, Spring Batch, Spring Boot, Java, JSON, JUNIT, Python, Oracle, HTML, CSS.IDE / Programming Tools: Eclipse 3.2, Eclipse 3.3, MARS, NetBeans, Visual studio
EducationNew York Institute of TechnologyManhattan,NYExpected inMay 2016––:Computer Science-GPA:4.0GPAComputer Science Summa Cum LaudeUniversity of MumbaiMumbai,Expected inMay 2014––:Computer Engineering-GPA:
ExperiencePanjiva-Software DeveloperVirtual,LA,10/2016-CurrentTest Data Management Project​Description:Test Data Management is a web based
application that is used to automate the manual efforts involved in test Data
Setup. It helps to synchronize data in different system and has the ability to
retrieve smart samples from production data.Responsibilities:Designed
and Developed notification module using spring framework, Java mail and JDBC
Template.Involved
in design and documentation of enhancement of scheduled scenario module.Involved
in unit testing and integration testing.Provided
with daily production support. Attending
scrum calls to plan and prioritize the activities.Involved
in creating and merging branches in the repository using GIT. Developed
stored procedures and triggers using Maria DB & Oracle.Worked
on deployment of Application.Worked
on Build Configuration of Application using Maven.Involved in build and development activities of test environment.Environment: Spring Boot, Spring Batch, Java, Apache Tomcat, Oracle, Maria DB, DB2,
Jenkins, Maven, Git​Pearson-Software DeveloperDover,DE,10/2016-CurrentBilling Automation ProjectDescription:Billing Automation is a billing
software that is used for validating bills (invoices). It highlights bills that
are outliers in comparison to historical data and confirms that data in bills
is in acceptable limits.Responsibilities:Responsible
for identifying defects, correcting defects and verifying defect fixes and
quality related activities by utilizing Java, Spring and oracle.Responsible
for writing test cases in test driven development using JUNIT and Cucumber.Completed
Automation end to end continuous integration pipeline using tools such as
Jenkins, Maven, Git and Sonar.Preparing
test case and test case results during unit testing.Environment:Java, Spring Boot, Spring Batch, Java Scheduler, Tomcat, Rest API,
Oracle, Junit, Cucumber, Jenkins, SonarQube, Jfrog, Git, AWS.Skilljar-Software Development EngineerLos Angeles,CA,04/2015-09/2016Purchase & Order Management
System

Project​Description:Purchase and order Management system
is a web based application that is used to sort orders based on lead times. It helps to synchronize data in
different database system and has the ability to retrieve available inventory
from database.Responsibilities:Implemented
payment module using Java, Spring Batch, Spring Boot, JSON and JSP.Developed
SOAP Web Services for payment module.Created maven archetypes for generating fully functional REST Web Services supporting JSON message transformation.Developed
Stored procedures & triggers using MySQL and oracle.Installation
of Tomcat Server.Involved
in Creating and merging branches in Repository using Git.Worked
on end to end continuous integration pipeline using tools like Jenkins, Maven,
Git and sonar.Environment:Java, Spring Batch, Spring Boot, Servlet, JSP, JSON, Webservices,
Oracle, MySQL, Maven, Jenkins, Git, Sonar.New York Institute Of Technology-College Project,,2016-04/2016Description:
This automated software helps in managing details of sales, discounts, payment,
products and inventory. It reduces the manual efforts of managing & tracks
all the details automatically.​Developed
and implemented tracking module using python and JSON.Implemented
Java and JSP and Java mail for alert module.
SkillsAJAX, Apache, API, automate, Automation, Billing, Version Control, CVS, Data Management, Database, documentation, Eclipse, Eclipse 3.2, Eclipse 3.3, XML, DB2, IBM Web sphere 6.1, IDE, inventory, J2EE, Java, JSP, JavaScript, JDBC, JDBC 3.0, JNDI, JQUERY, JSON, managing, MARS, mail, MVC, MySQL,  Oracle, DB, PL/SQL, Order Management, Programming, python, quality,  scrum, Servers, Servlet, Servlets, SOAP,  Toad, Tomcat, Tomcat 5.0, WebLogic, XSLT>>. The result is, No Fit

Fit assessment: No Fit