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: <<SummaryOracle Certified Associate, Java SE 8 Programmer, secured 92%          Designing, developing mobile/web apps; full-stack developer
  3 years of professional experience - Intersnhips, full-time jobs        Awarded `Intern of the Week' at my internship in Ericsson
HighlightsJAVA 8, C#, Android, Hibernate, C, C++, Hadoop, Java Swing, Machine Learning J2EE, JavaScript, TYPESCRIPT, REST, JSP, JSON, PHP, AJAX, jQuery, MySQL, NoSQL, HTML 5, CSS 3, XML
OS and tools used:        Azure, Eclipse, IntelliJ, GIT, BitBucket, Agile, Unix/Linux, SecureCRT, WireShark, WinSCP
ExperienceSoftware Engineer,08/2015-PresentAmentum–Palm Beach,FL,Working on the cloud platform 'Microsoft Azure' to develop mobile and web applications for Energy industry.Designing, developing, and testing the mobile app in Android and web app using Frontend Technologies.Working on the server side to generate tweets on Twitter when mobile alerts are generated using C#, PhantomJS.Using Machine Learning algorithms to predict the Power Market prices of different ISOs in Azure ML Studio.Part of 2 member's developer's team and hence handling the whole project from the scratch to the end which includes designing, developing, testing, reporting, documentation, predictive analysis.Development Environment: Java 8, C#, Android, REST, JSON, TypeScript, JavaScript, HTML, Machine Learning, Predictive Analysis, Azure Machine Learning Studio.Engineer Intern,08/2014-05/2015T.Y. Lin International–Charleston,SC,Worked in the proxy layer of AT&T network and taking ownership of all internal acceptance testing for new site builds.Maintenance window testing on sites which gets upgraded to add new features or fix issues in previous releases.Awarded "Intern of the week" on the 11th week of my internship for my dedication and hard work towards the organization.Software Developer Intern,05/2014-08/2014Experian–Redmond,WA,Involved in developing customized SDK components for SAP Design Studio.Highcharts.js, a JavaScript charting library is used extensively for creating interactive custom charts.Development Environment: Java, JavaScript, XML, JSON.Software Engineer,09/2012-07/2013Amentum–Paris,,IndiaInvolved in developing a mobile web application for AVIS using Hibernate framework.Created a multi-page form to book a reservation which also sends email confirmation to the user as well as the Avis location.Developed a screen where a user can modify an existing reservation using the confirmation number.Development Environment: Java, J2EE, Hibernate framework, MVC Architecture.
EducationMaster of Science:Computer Science,Expected inMay 2015-The University of Texas at Dallas-Dallas,TexasGPA:Status-Computer Science 3.67/4Bachelor of Engineering:Computer Science,Expected inMay 2012-Anna University-,ChennaiGPA:Status-Computer Science 7.54/10Oracle Certified Associate, JAVA SE 8 Programmer ­:,Expected inOctober 2016--,GPA:Status-. Scored 92%. Link to the certificate - http://bit.ly/2fpvsE2
RELEVANT COURSEWORKS
Advanced Data Structures & Algorithms, OOAD, DataBase Design, NLP, Big Data, Cloud Computing, Artificial Intelligence.:,Expected in--,GPA:Status-
SkillsAgile, AJAX, Artificial Intelligence, Big Data, book, C, C++, charts, CSS 3, DataBase Design, Designing, documentation, Eclipse, email, XML, features, HTML, HTML 5, http, PHP, J2EE, Java, JAVA 8, JSP, Java Swing, JavaScript, jQuery, JSON, Linux, Machine Learning, Market, C#, window, MVC, MySQL, NLP, network, NoSQL, OOAD, OS, Oracle, developer, page, predict, Programmer, proxy, reporting, SAP, Unix, web applications, Web Development>>. The result is, Good Fit

Fit assessment: Good Fit