PhD ML Systems Engineer Intern

Meta for Work; Western Australia; On-site; AUD 82,000 - 141,000; Full time

Job summary

Meta offers a PhD Machine Learning intern role with a 12-week minimum duration starting in 2026. You will build scalable ML systems, work on web-scale models, and contribute to distributed computing initiatives across Meta's platforms.

The internship emphasizes collaboration across teams and real-world product impact, with compensation reflecting base hourly/monthly rates and benefits. Applicants should be pursuing a PhD in CS or related fields and have strong coding skills in Java/C/C++/Python,

Qualifications

• PhD candidate or holder in Computer Science, Computer Vision, Machine Learning, or related field.
• Research/work experience in ML, DL, RL, NLP, or related areas.
• Experience in systems software or algorithms.

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.

Skills

Java

C/C++

Perl

PHP

Python

Education

PhD in Computer Science

Tools

Hadoop/Hbase/Pig

MapReduce/Sawzall/Bigtable

Job description

Meta offers a PhD Machine Learning intern role with a 12-week minimum duration starting in 2026. You will build scalable ML systems, work on web-scale models, and contribute to distributed computing initiatives across Meta's platforms.

The internship emphasizes collaboration across teams and real-world product impact, with compensation reflecting base hourly/monthly rates and benefits. Applicants should be pursuing a PhD in CS or related fields and have strong coding skills in Java/C/C++/Python,