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: <<Summary5+ years of professional experience in Manual Testing and Automation Testing of web-based applications with the purpose of assuring that software meets the highest standards of quality.
SkillsTesting Tools:Selenium WebDriver, Selenium Grid, JDBC, Cucumber, JavaScript executer,SQL Developer, REST Assured, Postman.Languages:Java, SQL, HTML, XML, JSONIDE:intellij, EclipseTesting Framework:JUnit, TestNGBuild Tools:MavenBug Tracking Tools:Jira, Jira X-RayRepository System:Git, GitHubContinuous Integration:JenkinsDatabases:Oracle, MySQLWeb Services:RESTful APIOperating Systems:Windows, macOSMethodologies:Agile, Waterfall
ExperienceSDET (Software Development Engineer in Test),01/2021-CurrentApex Systems–Franklin,WI,Following theSDLCMethodologies throughout the testing process from initiation until development.Analyze and studyRequirements and Documentationto plan and createTest Plan, Test, Test Set, and Test Executions utilizing Jira X-Ray.As a member ofScrum teamactively participated inDaily Scrum, Sprint Planning, Sprint Demo, and Sprint Retrospective Meetings.Create from scratch and maintaining testAutomation Framework (Hybrid - BDD, and DDT)built as aMavenproject written onJavato develop and executeAcceptance TestsfromCucumber Feature Files and Scenarios.CreateFeature Filesand writeTest Scenarios and Step Definitions in CucumberusingGherkin languageand integrating withJira X-Ray.ApplyPage Object Model (POM)design for reusability and enhancing Test creation and as well as in maintenance.ConductSmoke, Functional, Positive, Negative, Integration, Regression Teststo support the project and deliver clean code, functionality to the client and users usingJava, Maven, Selenium WebDriver, Selenium Grid, Cucumber, JUnit.Work onCross-Browser TestingthroughSelenium WebDriver,Selenium Gridby testing the Website on different browsers likeChrome, IE, andFirefox in Parallel.Prepare and executeTest ScriptsusingJavawithSelenium WebDriver in IntelliJfor automatingManual Test ScenariosforWeb applications,Database, andClient/Server (API Automation)applications.UtilizeJenkinsas aContinuous Integrationserver configuring withGit and Mavenon anAWS EC2machine to provide continuous testing for the project.Execute theRegression Test SuiteandSmoke Tests,and generateHTMLreports among the screenshots of the failures to be sent to emails as well as other communication tools.PerformAPI Testingto validate endpoints and properJSON/XMLstructure usingPostmanandREST AssuredapplyingGET, POST, PUT, PATCH, DELETEmethods.ConductSystem TestingandUser Acceptance Testingfor every client and conductBack-End Testingwriting extensiveSQL Queries.PerformBack-End Testingby writingSQL QueriesforData ValidationinSQLDeveloper and implementingJDBCconnection forAutomationpurposes.Participate in meetings with product owner and developers to discuss requirements, reviews, testing, and documentation for the application developed in anAgileenvironment.Work closely with developers and product owner to define the components of theAutomation Testingto validate the requirements of the application.Research, analyze, report, and retest resolved bugs/defects both with the help ofAutomation TestingandManuallywhen necessary.DevelopTest Scriptsto test the functionality of the application and executeAutomation Scriptson different browsers/environments and report defects/results to the team.Responsible for testing the application against different environments in testing, development, and production.Work with source version controlGit,creating branches for code reviewing and storing master branch of theFramework.Environment:Agile, Java, Selenium WebDriver, Cucumber, Gherkin, Maven, JUnit, REST API, IntelliJ, Jira, Jenkins, Git, HTML, Selenium Grid, AWS EC2, XML, Chrome, Firefox, IE, SQL, JDBC, Oracle, Windows, iOS.Java SDET,01/2019-01/2021UnitedHealth Group–City,STATE,Successfully built and maintained Automation Framework withPage Object Model (POM)Design Pattern utilizingJava Selenium WebDriverandCucumber.CreatedFeature FilesusingGherkinlanguage, generated, and implementedStep Definitionsin synchronization withCucumber Runnerclasses.UtilizedMavenfor project build, dependencies, and documentation purpose.CreatedSQL Queriesas part ofBack-End Testingby usingJDBC library.Participated in preparingTest CasesusingSelenium WebDriverto validate all UI components,Mouse Actions,andPopup Windows.Identified elements using various locators such asID, Name, Class, Tag Name, Link Text, Partial Link Text, XPath, and CSSselectors to createPage ClassesforPOM Design Pattern.PerformedCross-Browser TestingagainstFirefox, Chrome, Internet Explorer, Safari, andHeadlessto improve theBrowser Compatibilityof the application.Developed reusable functions, exception handling, and methods to improve work efficiency.Performed Scenario screenshots of important checkpoints and exceptions whenever it occurred during the execution of the application.PerformedAPI TestingusingPostmanandREST Assured libraryexecuteGET, POST, PUT, PATCH, DELETEmethods as well asJSON Pathsyntax.GeneratedCucumber TestsummaryHTMLreports mainly utilizingMaven-Cucumber-reporting plugin.Participated in all activities and all phases of theAgile Software DevelopmentandTest Development Life Cycle.Set up aContinuous Integrationsystem usingJenkinsgating to the merges in the code repository system such asGitHub.Created and maintained theRequirements Traceability Matrixfor better Test coverage.Logged the defects inJiraand maintained track of the defects inJira X-Ray.As a member of Scrum team actively participated inDaily Scrum, Sprint Planning, Sprint Demo, and Sprint Retrospective Meetings.CreatedTest Plans, Test Scenarios, Test Cases, and Test Stepscovering bothPositive and Negative Scenarios.Environment: Agile, Java, Selenium WebDriver, Cucumber, Maven, Gherkin, Jenkins, Jira, Git, HTML, XML, IntelliJ IDEA, Postman, Chrome, Firefox, SQL, POM, API, Windows.QA Engineer,02/2018-01/2019Vibrent Health–City,STATE,Responsible for web testing of COMPANY-3's intranet application, which provides employees features like employee database search, access to online documents, news/articles, events, etc.Participated inFunctional Specificationsreview meetings with other teams.Conducted manual testing for key features on each module and generated reportsPerformedPositive and Negative Testing.User Interface (UI) Testing.Involved in efforts to implement theUI Test AutomationusingJavaandSelenium WebDriver.ConductedRegression Testingfor each release and maximized the test coverage.>>. The result is, Good Fit

Fit assessment: Good Fit