Research Scientist Intern: GenAI & Statistical Modeling

Meta; Menlo Park, New York (CA, NY); Presencial; USD 55.000 - 83.000; A tiempo parcial

Descripción de la vacante

Meta is seeking PhD research interns for Central Applied Science. The program lasts 12 to 24 weeks, with multiple start dates, and involves applying statistical modeling, economics, and GenAI evaluation to support strategic decisions.

Interns collaborate with product groups and research teams to develop robust, trustworthy models and open-source tools. Ideal candidates are pursuing a PhD in a quantitative field, have ML/research experience, and are able to work across teams, with exposure to

Formación

• PhD in a quantitative field (Statistics, CS, Economics, OR, Data Science) or related technical field.
• Experience in ML and statistical research covering modeling, economics, or AI evaluation.
• 1+ years programming, analysis, and visualization using Python or R.
• Experience with cross-group and cross-cultural collaboration.
• Experience in scalable dataset assembly/data wrangling (Hive, Spark, Presto).
• Must obtain work authorization in the country of employment at hire and maintain it.
• Intent to return to degree-program after internship.
• Proven track record via internships, fellowships, patents, or first-authored publications at major venues.

Conocimientos

ML & statistics research

Cross-functional collaboration

Python/R programming

Data visualization

Communication skills

Educación

PhD in quantitative field (Statistics, CS, Economics, OR, Data Science)

Herramientas

Hive

Spark

Presto

Descripción del empleo

Meta is seeking PhD research interns for Central Applied Science. The program lasts 12 to 24 weeks, with multiple start dates, and involves applying statistical modeling, economics, and GenAI evaluation to support strategic decisions.

Interns collaborate with product groups and research teams to develop robust, trustworthy models and open-source tools. Ideal candidates are pursuing a PhD in a quantitative field, have ML/research experience, and are able to work across teams, with exposure to