Research Scientist, Product Algorithms - Menlo Park, United States - Meta

Description

Research Scientist, Product Algorithms Responsibilities:

Work with vast amounts of data, generate research questions that push the stateoftheart, and build datadriven products.
Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.
Work towards longterm 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.

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
MS degree with 4+ years of relevant experience, or 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 scikitlearn
Experience developing algorithms in languages like Python, C, C++ or Java
Experience analyzing large datasets using tools like Presto, Hive or Spark
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.