About the role#
The Central Applied Science team works on strategic projects that combine research and engineering. We use scientific rigor and methodological innovation to solve problems across computer science, statistics, machine learning, and economics. You will work with various product groups to address challenges in anomaly detection, Bayesian modeling, bias correction, and generative AI.
What you'll do#
- Build scalable and statistically rigorous solutions to inferential and decision problems.
- Develop or apply machine learning and statistical methodologies.
- Partner with scientists, engineers, designers, and product managers to deliver results.
- Identify new opportunities for data-scientific contributions within the long-term product roadmap.
- Communicate research findings and spread statistical best practices across the organization.
What you'll need#
- Current enrollment in or completion of a PhD program in a quantitative field like Statistics, Computer Science, or Economics.
- Experience in machine learning and statistical research, specifically in areas like behavioral modeling, model evaluation, or generative AI.
- At least one year of experience in programming, analysis, and visualization using Python or R.
- Experience with scalable data wrangling tools such as Hive, Spark, or Presto.
- A history of results through industry experience, fellowships, patents, or publications.
- Ability to work and communicate across different teams and cultures.
- Intent to return to your degree program after the internship.
Location & details#
- Positions are available in Menlo Park, California, and New York, New York.
- This is an on-site, full-time internship.
- You must be available for at least 16 weeks.
- You must obtain and maintain your own work authorization in the United States.
About Meta
Meta develops software and social media applications. It operates platforms such as Facebook, Messenger, Instagram, and WhatsApp. The company maintains headquarters in Menlo Park, California. Current work focuses on augmented and virtual reality alongside artificial intelligence and machine learning.
How to get in at Meta
Landing an internship at Meta requires a proactive approach to the application process. Intern Insider sends an instant alert the moment a role matching your target is published, allowing you to apply among the first. Early applicants often have their materials reviewed before the applicant pool grows significantly. You can use Intern Insider to surface the recruiters behind specific roles at Meta. Reaching out directly to these individuals to ask about the position or a referral often improves your response rates compared to applying into a queue.
