Research Scientist Intern, Central Applied Science (PhD)
Menlo Park, CA | Seattle, WA | New York City | San Francisco, CA
Central Applied Science is interdisciplinary, with expertise in computer science, statistics, machine learning, economics, operations research, 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.
We are looking for research interns to join the Central Applied Science team. The ideal candidate will have extensive graduate training in computer science or related disciplines, and an interest in answering challenging, open-ended research questions with real-world impact.
Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.Research Scientist Intern, Central Applied Science (PhD) 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.
- 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.
- 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.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Tags: AIStats Computer Science Deep Learning Economics Engineering ICLR ICML Machine Learning NeurIPS Open Source PhD Physics Python PyTorch Research Scikit-learn Statistics TensorFlow VR
Perks/benefits: Career development Conferences Equity Flex vacation Health care Salary bonus Startup environment
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