PhD ML Systems Engineer Intern - Build Scalable AI

Meta; Burlingame (CA); Presencial; USD 82.000 - 141.000; Jornada completa

Descripción de la vacante

Meta is seeking a PhD intern for ML systems and models powering its products. You will build scalable classifiers, contribute to web-scale ML tools, and work with distributed computing, AI, and databases.

The internship lasts at least 12 weeks in 2026, with start dates announced by Meta. You will collaborate across teams, adapt ML methods to distributed and GPU environments, and help advance Meta's research-to-production pipeline.

Formación

• Currently holds, or is pursuing, a PhD in Computer Science, Computer Vision, ML, or related field.
• Experience in ML, DL, RL, NLP, recommender systems, or vision.
• Experience in systems software or algorithms.
• Proficient in Java, C/C++, Perl, PHP, or Python.

Responsabilidades

• Develop scalable classifiers and ML tools.
• Gather and synthesize requirements, build feature roadmaps.
• Code deliverables with engineering teams.
• Adapt ML methods to parallel environments (clusters, multicore, GPU).
• Responsibilities vary by team.

Conocimientos

Java

C/C++

Python

Perl

PHP

Educación

PhD in Computer Science/Machine Learning

Herramientas

Hadoop/Hbase/Pig

MapReduce/Sawzall/Bigtable

Descripción del empleo

Meta is seeking a PhD intern for ML systems and models powering its products. You will build scalable classifiers, contribute to web-scale ML tools, and work with distributed computing, AI, and databases.

The internship lasts at least 12 weeks in 2026, with start dates announced by Meta. You will collaborate across teams, adapt ML methods to distributed and GPU environments, and help advance Meta's research-to-production pipeline.