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: <<Professional SummarySOFTWARE ENGINEER with over 5 years of professional software development experience in highly
scalable backend systems, web development, and product management. Adept in critical thinking, advanced
software proficiency, programming languages, and system design for enabling solutions with enhanced
efficiency, faster time to market, as well as low operation costs.
 ACCOMPLISHMENTSCo-Authored 4 patents filed at USPTO.Invited to VMware Radio 2016 for a paper presentation on Geo Distributed Monitoring Systems.Certificate of Recognition awards at VMware.Successfully led 4 major projects at Amazon unblocking 100+ internal customers and many retail
 initiates.
SkillsShell ScriptingJava, C++Testing, Troubleshooting and debuggingDocker, VMWare ESXI, vCenter, vCloudTeamwork, CollaborationDirector, Zabbix, LinuxAgile, ScrumHTML & JavaScriptTestNG, JenkinsSQLPerformance and scalability optimizationObject-Oriented ProgrammingTechnical writingPython, R & Shell scriptingRESTful Web ServicesAgileAPIC++DebuggingDeliveryHTMLJavaJavaScriptLinuxDirectorObject-Oriented ProgrammingOptimizationPressProcessesPythonReal-timeRetailScrumSDLCShell ScriptingSoftware DevelopmentSQLTeamworkTechnical writingTroubleshooting
Work HistorySOFTWARE DEVELOPMENT ENGINEER,04/2018toCurrentRing–North Reading,MA,Working in platform team running the core of Amazon's retail business.Led development of multi-tenant, highly scalable software solutions.Engineered software release for efficient and highly scalable web solutions.Completed four major projects, from Press Release to Final Delivery covering all SDLC processes.Building solution with 30% adoption rate, handling 1.4 Million Transactions Per Second leading to 7-
 9% improvement in backend requests for Amazon products including Amazon Music and Alexa.Carried out performance optimizations leading to IMR savings of approximately 7% or $10 Million.Ran campaigns for migrating close to ~400 internal customers to improve platform availability and
 security.SOFTWARE DEVELOPMENT ENGINEER INTERN,05/2017to07/2017Leidos Holdings Inc.–Camp Lejeune,NC,Responsible for requirements, analysis, design, and implementation of a stateless POST request service
 running the core of Amazon's retail business.Unblocked close to 40+ key customers including Amazon's cart and checkout leading to the increased
 adoption rate of platform.MEMBER OF TECHNICAL STAFF,07/2013to08/2016Advance Energy–Vancouver,,INDIADesigned and implemented Geo-distributed monitoring solution for real-time monitoring of various
 vCloud Air systems using open source technologies.Collaborated with an agile development team to build Java annotation-based framework for writing and
 orchestrating simple and efficient test libraries for RESTful API services.Built orchestration tools for system engineers across 6 teams performing load tests, stress tests, and
 writing user workflows for testing vCloud Air systems.
EducationMaster of Science:Computer Science, Twin Cities,Expected in2017toUniversity of Minnesota-,GPA:GPA: 3.82Bachelor of Engineering:Computer Science, Bangalore,Expected in2013toBMSCE-,GPA:GPA: 8.9
SkillsShell ScriptingJJava, C++TTesting, Troubleshooting and debuggingDDocker, VMWare ESXI, vCenter, vCloudTTeamwork, CollaborationDDirector, Zabbix, LinuxAAgile, ScrumHHTML & JavaScriptTTestNG, JenkinsSSQLPPerformance and scalability optimizationOObject-Oriented ProgrammingTTechnical writingPPython, R & Shell scriptingRRESTful Web Services,Agile, API, C++, debugging, Delivery, HTML, Java, JavaScript, Linux, Director, Object-Oriented Programming, optimization, Press, processes, Python, real-time, retail, Scrum, SDLC, Shell Scripting, Software Development, SQL, Teamwork, Technical writing, Troubleshooting>>. The result is, Good Fit

Fit assessment: Good Fit