ML Systems Engineer Intern (PhD) – Scalable ML Platforms

Meta; Menlo Park (CA); On-site; USD 82,000 - 141,000; Full time

Job summary

Meta seeks a PhD intern in Machine Learning to build scalable ML systems and web applications reaching millions. You will work with distributed computing, GPUs, and modern parallel environments, coding in Python/Java/C/C++ as part of a team that ships production ML tooling. This twelve-week internship starts in 2026 and matches you to teams based on interests.

Minimum qualifications include pursuing a PhD in CS/ML, strong research in ML or related fields, and work authorisation for the U.S.

Qualifications

• PhD in Computer Science or related field in progress or completed.
• Experience in ML, DL, NLP, or related areas.
• Experience in systems software or algorithms.
• Proficient coding in Java, C/C++, Python, or Perl/PHP.

Responsibilities

• Develop scalable classifiers and ML tools.
• Define feature roadmaps with teams.
• Code deliverables with engineering team.
• Adapt ML methods to distributed and GPU environments.
• Tackle responsibilities varying by team.

Skills

Java

Python

C/C++

Distributed computing

Research experience

Interpersonal skills

Work authorization

Education

PhD in Computer Science

Tools

Hadoop/HBase/Pig

MapReduce/Sawzall/Bigtable

Job description

Meta seeks a PhD intern in Machine Learning to build scalable ML systems and web applications reaching millions. You will work with distributed computing, GPUs, and modern parallel environments, coding in Python/Java/C/C++ as part of a team that ships production ML tooling. This twelve-week internship starts in 2026 and matches you to teams based on interests.

Minimum qualifications include pursuing a PhD in CS/ML, strong research in ML or related fields, and work authorisation for the U.S.