meta > meta Employee Directory > Danielle Pintz
daniellepintz
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Danielle Pintz
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MetaCompany Size
2500+
Amount Raised
$24.6B
Meta's mission is to build the future of human connection and the technology that makes it possible. \n\nOur technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.\n\nTo help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:\n\n• Start with an open mind. Whether you agree or disagree, engage with empathy.\n• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.\n• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.\n• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.\n• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).\n\nFor a full listing of our jobs, visit https://www.metacareers.com\n
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Notable Investors
PayPal, Microsoft, General Atlantic, Accel, Peter Thiel
Mobile Apps
Social Media
Social Network
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Experience
Research Scientist
Meta
Apr 2020 - Present
• 4 yrs 11 mosSoftware Engineer - NLP
Spectrm
Feb 2019 - Aug 2019
• 7 mosSoftware Engineer - NLP
Botfuel
Mar 2018 - Feb 2019
• 1 yrAs a member of an Agile-organised team, I worked as a software engineer to develop the
core NLP services of Botfuel (chatbot building platform and SDK). I improved the algorithm of our spellchecking service in Java, to handle the nuances of English vs. French spelling errors. I worked on the redesign and implementation of our entity extraction service in Python, also focusing on the differences between extraction of entities in English vs. French. I also tested and improved our classification algorithm using Machine Learning models. I worked closely with our SDK and portal development team to create an API that interacts with the portal, and stores data in MongoDB. Using Git and testing, staging, and production environments, I contributed code to our web services and APIs in production.
Software Engineer - App Development
The Paideia Institute for Humanistic Study
Jun 2017 - Nov 2017
• 6 mos• Participated in full life-cycle software development of two iOS applications using Swift; wrote, tested and documented all code
• Built website using PHP, JavaScript, HTML, CSS, and Bootstrap, which retrieved and manipulated MySQL database
PHP Developer
WhoDoYou
Jun 2015 - Aug 2015
• 3 mos• Developed program in PHP to extract company website data from Google Analytics, present it in customizable tables and graphs, and automate daily email to all employees
Education
- 2013 - 2017Princeton UniversityBachelor of Science in Engineering, Computer Science