Software Engineer Intern, Machine Learning (PhD)

MetaMetaBurlingame, California, United States | Menlo Park, California, United States | Sunnyvale, California, United States | New York, New York, United States | Bellevue, Washington, United States | Redmond, Washington, United States | Seattle, Washington, United States
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Posted

10/6/2026

Employment

Internship

Range

$7k - $13k/month

Work style

On-site

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AI summary

Core responsibilities

Develop highly scalable machine learning classifiers and tools while collaborating with engineering teams to build complex models. You will suggest and synthesize requirements to create effective feature roadmaps for products reaching millions of users.

Requirements overview

Candidates must be currently pursuing a PhD in Computer Science, Machine Learning, or a related field. Strong experience in systems software, algorithms, and proficiency in programming languages like Java, C/C++, or Python is required.

Key skills

Machine LearningDeep LearningReinforcement LearningNLPRecommendation SystemsPattern RecognitionSignal ProcessingData MiningArtificial IntelligenceComputer VisionJavaC/C++PerlPHPPythonDistributed Computing

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Education requirements

postgraduate degree

About Meta

Industry

Software Development

Employees

165,234

Type

Public Company

Size

10,001+ employees

Meta's mission is to build the future of human connection and the technology that makes it possible. Our 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 and intelligent experiences like virtual reality, wearables and AI to help build the next evolution in social technology. To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following: • Start with an open mind. Whether you agree or disagree, engage with empathy. • Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect. • Keep it constructive. Use your interactions here to learn about and grow your understanding of others. • Our moderators are here to uphold these guidelines for the benefit of everyone, every day. • 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). For a full listing of our jobs, visit https://www.metacareers.com

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Job categories

SoftwareTechnologyScience & ResearchEngineeringData & Analytics

Description

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 2026 start dates only. Responsibilities Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models Suggest, collect and synthesize requirements and create effective feature roadmap Code deliverables in tandem with the engineering team Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) Perform specific responsibilities which vary by team Minimum Qualifications Currently has, or is in the process of obtaining, a PhD in Computer Science, Computer Vision, Machine Learning, or related field Research and/or work experience in a relevant field, such as machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, or computer vision Experience in systems software or algorithms Experience coding in Java, C/C++, Perl, PHP, or Python Interpersonal experience: cross-group and cross-culture collaboration Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Preferred Qualifications Intent to return to degree-program after the completion of the internship/co-op Demonstrated software engineer experience via an internship, work experience, coding competitions, or PhD papers Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences Demonstrated creativity and quick problem solving capabilities Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable $7,313/month to $12,667/month + benefits

Requirements

  • •Machine Learning
  • •Deep Learning
  • •Reinforcement Learning
  • •NLP
  • •Recommendation Systems
  • •Pattern Recognition
  • •Signal Processing
  • •Data Mining
  • •Artificial Intelligence
  • •Computer Vision
  • •Java
  • •C/C++
  • •Perl
  • •PHP
  • •Python
  • •Distributed Computing

Benefits

  • •Health Insurance
  • •Stock Options
  • •401k

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