Research Scientist Intern, Central Applied Science (PhD)

Requirements

Currently has, or is in the process of obtaining, a PhD in Computer Science, Statistics, Machine Learning, or a related technical field.
Expertise in empirical research, including manipulating and analyzing complex data and communicating quantitative analyses.
Knowledge of common programming languages such as Python or C++, strong development capabilities, and familiarity with software engineering best practices.
Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn.
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.
Preferred Qualifications:
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, KDD, AISTATS, ICLR, or similar.
Experience working and communicating cross functionally in a team environment.
Intent to return to degree-program after the completion of the internship/co-op.

Responsibilities

Answer important product and business questions, by applying appropriate scientific methodologies, and developing new methodologies when necessary.
Synthesize and apply insights from the relevant academic literatures to Meta’s products.
Apply communication skills to engage diverse audiences on technical topics.
Work both independently and collaboratively with other scientists, engineers, and other product roles to accomplish complex tasks that create value for Meta’s community of over 3.5 billion users.
Identify new areas across the family of Meta apps and products where scientific insights can drive improvements in product or infrastructure.

FAQs

What is the main focus of the Central Applied Science team at Meta?

The Central Applied Science team at Meta focuses on research and development aimed at improving Meta’s products and infrastructure. They work on foundational projects that address new opportunities and challenges across Meta, including supporting the Meta family of apps that enable communication for billions of users daily.

What kind of expertise is represented within the Central Applied Science team?

The Central Applied Science team is interdisciplinary, with expertise in various fields, including computer science, statistics, machine learning, economics, and operations research, among others. This diverse range of perspectives enhances their research capabilities and the projects they can pursue.

What qualifications are required for the Research Scientist Intern position?

The ideal candidate for the Research Scientist Intern position should have extensive graduate training in computer science or related disciplines. Additionally, they should have an interest in addressing challenging, open-ended research questions that have real-world implications.

How long do the internships with the Central Applied Science team typically last?

The internships with the Central Applied Science team typically last between twelve (12) to twenty-four (24) weeks.

Are there specific start dates for the internships, or are they flexible?

There are various start dates throughout the year for the internships, offering flexibility for candidates.

Does the Central Applied Science team collaborate with other groups within Meta?

Yes, the Central Applied Science team works collaboratively on projects with other groups at Meta as well as with the academic community, enhancing the impact and breadth of their research.

Is there an opportunity for interns to contribute to open-source projects?

Yes, interns may have the opportunity to work on building and open-sourcing technical products that align with the team's areas of expertise.