ML Systems Engineer Intern (PhD)

Meta; Bellevue (WA); On-site; USD 82,000 - 141,000; Full time

Job summary

Meta offers a PhD internship in Machine Learning focusing on building scalable classifiers and ML systems. The role involves collaborating with engineering teams, collecting requirements, and adapting ML methods to distributed and GPU-accelerated environments.

The internship emphasizes cross-disciplinary work across distributed computing and AI research, with a 12-week minimum duration starting in 2026. Candidates must be pursuing a PhD and eligible to work in the United States.

Qualifications

• Currently has, or is in the process of obtaining, a PhD in Computer Science, Computer Vision, Machine Learning, or related field
• Experience in ML, DL, RL, NLP, recommender systems, pattern recognition, data mining 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

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 (distributed clusters, multicore SMP, and GPU)
• Perform specific responsibilities which vary by team

Skills

Java

C/C++

Perl

PHP

Python

Systems software

Education

PhD in Computer Science/ML/related

Tools

Hadoop/HBase/Pig

MapReduce/Sawzall/Bigtable

Job description

Meta offers a PhD internship in Machine Learning focusing on building scalable classifiers and ML systems. The role involves collaborating with engineering teams, collecting requirements, and adapting ML methods to distributed and GPU-accelerated environments.

The internship emphasizes cross-disciplinary work across distributed computing and AI research, with a 12-week minimum duration starting in 2026. Candidates must be pursuing a PhD and eligible to work in the United States.