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: <<HighlightsProficient inObjective - CJavaC/C++Prior experienced inJavaScriptHTMLPHP
EducationMaster of Science:Computer Science,Expected in2015-George Washington University-Washington,DCGPA:Status-Bachelor of Engineering:Detection Guidance and Control Technology,Expected in2013-Nanjing University of Aeronautics and Astronautics-Nanjing,JiangsuGPA:Status-
Work HistorySoftware Engineer,2016-CurrentVertiv Holdings, Llc–Westerville,OH,Learning basic software engineer's working skills, including unit testing, code quality improvement, and so on.Creating and upgrading IT solutions that directly impact hospitals and clinics, as well as doctors, clinicians, and patientsProgramming Language: Java, Javascript, HTML, CSS.iOS Developer - Internship,09/2015-2016Abroad Intellect Capital–City,STATE,Worked on an iOS project with a team, developed: push notifications, cursor library, and caching within the iOS framework.Applied SQLite to communicate between the mobile app and the company's web application.Programming language: Objective-C, Swift.Junior iOS Software Engineer, Internship,04/2015-08/2015LifeFuels–City,STATE,Develop an iOS application with software development team.Get involved in most project phrases, from UI/UX designing, software development, software debugging to software testing.Collected data from other mobile application or web application based on Oauth 2.0 protocol.Improved user experience by adding UIKit animations and SpriteKit animations.Programming Language: Objective-C.iOS Developer, Project Manager,05/2014-2015China Concordia Infotech Co.,Ltd–City,STATE,Developed an iOS task manager application, with both on-line and off-line information system.Involved at every project phrase, from concept creation to app store deployment.Responsible for general maintenance of application library and debugging.Programming Language: Objective-C, PHP.>>. The result is, Good Fit

Fit assessment: Good Fit