Research Scientist, Product Algorithms

We are looking for researchers and applied scientists to join the Central Applied Science team at Meta. This interdisciplinary team aims to deliver research and innovation that fundamentally contribute to Meta's success. The ideal candidate will have expertise in quantitative methods, including artificial intelligence, machine learning, statistics, causal inference, and experimentation. They should have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.

Responsibilities include:

• Working with vast amounts of data to generate research questions and build data-driven products
• Developing novel quantitative methods using Meta's data infrastructure
• Working towards long-term research goals while identifying intermediate milestones
• Communicating best practices in quantitative analysis to partners
• Collaborating with scientists, engineers, UX researchers, and product managers
• Identifying new opportunities for data science contributions within Meta's long-term roadmap

Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• MS degree with 4+ years of experience or PhD in computer science, statistics, or a related field
• Publications in Machine Learning, AI, computer science, statistics, or data science
• Experience with Python or R for data analysis
• Familiarity with machine learning frameworks like PyTorch, TensorFlow, or scikit-learn
• Algorithm development experience in Python, C, C++, or Java
• Experience analyzing large datasets using tools like Presto, Hive, or Spark

Meta offers a competitive compensation package, including benefits, and is committed to providing reasonable accommodations for candidates with disabilities or other needs. The company values diversity and does not discriminate based on protected characteristics.