ML Systems Engineer Intern (PhD)

Meta; New York (NY); On-site; USD 82,000 - 141,000; Full time

Job summary

Meta is seeking a PhD intern for its Machine Learning teams to build scalable ML systems and models powering Meta products. The internship spans a minimum of twelve weeks starting in 2026, with placement matched to a team based on interests and experience.

You will develop highly scalable classifiers, propose feature roadmaps, and code with engineers. Experience in ML, DL, NLP, or related AI fields, plus strong programming in Java/C/C++/Python, is preferred.

Qualifications

• PhD candidate or degree in CS, ML, or related field.
• Research or work in ML, DL, RL, NLP, recommender systems, or computer vision.
• Experience in systems software or algorithms.

Responsibilities

• Develop scalable classifiers and ML-powered tools.
• Gather requirements and contribute to feature roadmaps.
• Collaborate with engineering to deliver code in sprints.
• Adapt ML methods to distributed, multicore, and GPU environments.
• Responsibilities vary by team.

Skills

PhD in CS/ML related

Java

C/C++

Python

Perl

PHP

Machine learning

Cross-cultural collaboration

Education

PhD in Computer Science / related field

Tools

Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable

Job description

Meta is seeking a PhD intern for its Machine Learning teams to build scalable ML systems and models powering Meta products. The internship spans a minimum of twelve weeks starting in 2026, with placement matched to a team based on interests and experience.

You will develop highly scalable classifiers, propose feature roadmaps, and code with engineers. Experience in ML, DL, NLP, or related AI fields, plus strong programming in Java/C/C++/Python, is preferred.