The candidate must have a PhD in Computer Science or related field, research experience in machine learning, coding skills in Java, C/C++, Perl, PHP, or Python, interpersonal skills for collaboration, work authorization, and preferred qualifications including software engineering experience, proven results, problem-solving capabilities, and familiarity with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable.

The Software Engineer Intern will develop scalable machine learning models, create feature roadmaps, code deliverables, adapt methods for parallel environments, and perform team-specific tasks at Meta.

Software Engineering

United States

Seattle

New York

Fortune 500

Meta builds technologies that 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.

Technology

Media

<ul><li>Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world.</li><li>In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta’s research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.</li><li>As a PhD intern at Meta, you will help build machine learning systems and models behind Meta’s products, create web applications that reach millions of people, build high volume servers and be a part of a team that’s working to help connect people around the globe.</li><li>As part of our hiring process, PhD interns are matched to a relevant team based on their experience and interests.</li><li>This internship has a minimum twelve (12) week duration with 2024 start dates only.</li></ul>

Currently Studying

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world.In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta’s research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.As a PhD intern at Meta, you will help build machine learning systems and models behind Meta’s products, create web applications that reach millions of people, build high volume servers and be a part of a team that’s working to help connect people around the globe.As part of our hiring process, PhD interns are matched to a relevant team based on their experience and interests.This internship has a minimum twelve (12) week duration with 2024 start dates only.

Software Engineer Intern, Machine Learning (PhD)

Requirements

Responsibilities

Meta

Mission & Purpose