Meta is looking for researchers and applied scientists to join the Central Applied Science team to deliver research and innovation that fundamentally contribute to Meta's success by applying expertise in quantitative methods to drive impact across a range of products, infrastructure and company operations.
Requirements
- PhD in computer science, statistics or a related field
- Publications in Machine Learning, AI, computer science, statistics, data science, or related technical fields
- Experience analyzing datasets using languages like Python or R
- Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
- Experience developing algorithms in languages like Python, C, C++ or Java
- Experience analyzing large datasets using tools like Presto, Hive or Spark
Responsibilities
- Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products
- Develop novel quantitative methods on top of Meta's unparalleled data infrastructure
- Work towards long-term ambitious research goals, while identifying intermediate milestones
- Communicate best practices in quantitative analysis to partners
- Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value to Meta's community of over 3.8 billion users
- Actively identify new opportunities within Meta's long term roadmap for data science contributions
Other
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
- Meta builds technologies that help people connect, find communities, and grow businesses.
- Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer.
- Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.
