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SUMMARY:Company Presentation - Meta
DTSTART:20231120T171500
DTEND:20231120T181500
DTSTAMP:20260407T132024Z
UID:8564f1b60f5adec564b5d9ff48ab6f1661fa28d1d6f3322d40a154b3
CATEGORIES:Conferences - Seminars
DESCRIPTION:Meet Your Future Employer - Meta\nMeta is a leading technology
  company formerly known as Facebook. It specializes in social media\, virt
 ual reality\, and augmented reality\, with a mission to connect people and
  build the next generation of internet technologies.\nTheir researchers ar
 e delighted to meet you during a company presentation:\n \nMonday\, 20 No
 vember 2023\n5.15 p.m. – 6.15 p.m.\nRoom CM 1 2 \nIn English\nAfter the
  presentation\, they’d love to meet you for an informal apéritif (atten
 dance is optional).\n\nDuring this talk\, Meta Researches will cover two k
 ey topics :\n\n	They will provide an overview of "Simulation-Based Testing
 " at Meta. This presentation will explain the concept of Simulation-Based 
 Testing\, detailing what it involves and how it can be effectively combine
 d with other testing methods to ensure the high quality of Meta's products
 . You will also gain insights from practical examples illustrating the rea
 l-world applications of this testing approach. For further in-depth inform
 ation on this topic\, attendees are encouraged to explore publications fro
 m the Meta research team\, including:\n\n1. Testing Web Enabled Simulation
  at Scale Using Metamorphic Testing  \n2. WES: Agent-based User Interacti
 on Simulation\n3. Simulation-Driven Automated End-to-End Test and Oracle I
 nference\n\n\n	The presentation will encompass an overview of "Machine Lea
 rning Engineering" at Meta. Researchers from Meta will walk you through th
 e entire lifecycle of a machine learning project\, starting from ideation 
 and progressing to the deployment of models into production. Furthermore\,
  the talk will delve into the specific work carried out by the Meta resear
 ch team\, the Catalog Crawling Platform\, to provide real-world examples a
 nd context for machine learning engineering within Meta.\n\nAttendees can 
 look forward to a comprehensive understanding of these two crucial aspects
  of Meta's work during the presentation.\nLearn more about Meta during thi
 s exploratory presentation\, and make sure to ask all your questions to fi
 nd out how you can join their team!\nHurry up\, register now and secure yo
 ur spot!  Places are limited.\n \nIf you encounter problems during regis
 tration\, please write to cctc@epfl.ch mentioning “Meta’s Presentation
 ”.\n\nOrganised by the Transversal Skills and Career Center.\n 
LOCATION:CM 1 2 https://plan.epfl.ch/?room==CM%201%202
STATUS:CONFIRMED
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