ML Systems Intern (PhD) — Scalable AI Platforms

Meta; Bellevue (WA); Sur place; USD 82 000 - 141 000; Plein temps

Avantages offerts par ce poste

Benefits

Résumé du poste

Meta seeks a PhD intern to build machine learning systems in Bellevue, WA. You will design scalable ML models, contribute to distributed computing projects, and develop web-ready tools used across Meta’s products. The 12-week internship starts in 2026, offering hands-on work with high-volume servers and cross-team collaboration.

Applicants should be pursuing a PhD in CS/ML and have strong coding skills in Python/Java/C/C++. Prior research or internships in ML, DL, or AI are valued.

Qualifications

• PhD in CS, CV, ML or related field.
• Research/work in ML, DL, RL, NLP, recommender systems, pattern recognition, AI or CV.
• Experience in systems software or algorithms.
• Experience coding in Java, C/C++, Perl, PHP or Python.
• Interpersonal experience: cross-group and cross-cultural collaboration.
• Must obtain work authorization in country of employment at hire and maintain during employment.

Responsabilités

• 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 ML methods to exploit modern parallel environments (distributed clusters, multicore SMP, GPU).
• Perform responsibilities that vary by team.

Connaissances

Interpersonal skills

Systems software experience

Coding experience

Formation

PhD in CS/ML

Outils

Hadoop/HBase/Pig

MapReduce/Sawzall/Bigtable

Description du poste

Meta seeks a PhD intern to build machine learning systems in Bellevue, WA. You will design scalable ML models, contribute to distributed computing projects, and develop web-ready tools used across Meta’s products. The 12-week internship starts in 2026, offering hands-on work with high-volume servers and cross-team collaboration.

Applicants should be pursuing a PhD in CS/ML and have strong coding skills in Python/Java/C/C++. Prior research or internships in ML, DL, or AI are valued.