Research Scientist Intern, Central Applied Science (PhD)

Meta; Menlo Park, New York (CA, NY); On-site; USD 55,000 - 83,000; Part time

Job summary

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

Qualifications

• 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.

Skills

ML & statistics research

Cross-functional collaboration

Python/R programming

Data visualization

Communication skills

Education

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

Tools

Hive

Spark

Presto

Job description

Central Applied Science (CAS) is a research and development team which takes on the strategic bets most critical to Meta that require a unique combination of research and engineering to succeed. We generate real-world impact through a combination of scientific rigor, methodological innovation and engineering.

Central Applied Science is interdisciplinary, with expertise in computer science, statistics, machine learning, economics, political science, operations research, marketing science and sociology, among many other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address. We deliver value through collaborative projects with other groups at Meta and with the academic community. In addition, we build and open-source technical products aligned with our areas of expertise.

The Central Applied Science team is looking for PhD research interns with expertise in statistical modeling, economics, experimentation, game theory, GenAI Modeling and Evaluation. The team works closely with various product groups throughout Meta, bringing expertise in anomaly detection, bayesian modeling, bias correction, model evaluation, synthetic population, behavioral modeling and pricing, and applying them for various applications. We solve critical problems that enable Meta to make robust and trustworthy strategic decisions and build products that best serve and protect their users.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Requirements

• Currently has, or is in the process of obtaining, a PhD degree in a quantitative field such as Statistics, Computer Science, Information Science, Economics, Operations Research, Data Science, Quantitative Marketing or relevant technical field
• Experience in machine learning and statistical research covering at least one of the following domains: statistical modeling, behavioral modeling, economics, model evaluation or generative AI
• 1+ years in programming, analysis, and visualization using computing software and libraries such as Python or R
• Interpersonal experience: cross-group and cross-culture collaboration
• Experience in scalable dataset assembly/data wrangling, such as Hive, Spark or Presto
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
• Intent to return to degree-program after the completion of the internship/co‑op
• Proven track record of achieving significant results as demonstrated by previous internships or industry experience, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as KDD, The Web, AI STATS, AAAI, NeurIPS, ICML, EC, or similar
• Experience working and communicating cross functionally in a team environment
• Availability for sixteen (16) weeks or more