We're looking for applied scientists with substantial industry experience to join the Central Applied Science team. Central Applied Science is home to experts from many scientific fields, partnering across the company to deliver research and innovation that fundamentally contribute to Meta's success. You will be empowered to leverage your expertise and drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to perform well in a research engineering capacity and hold publications within research areas including artificial intelligence, machine learning, statistics, operations research, causal inference and experimentation. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.

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, 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 for scientific tooling and systems to yield outsized impact, inline with Central Applied Science's role and mission within Meta

Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD in computer science, statistics, operations research or a related field
• 4+ years of industry experience in an applied R&D capacity or similar function
• Publications in Machine Learning, AI, computer science, statistics, data science, or related technical fields
• Experience analyzing datasets using languages such as Python
• Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
• Experience developing algorithms in languages such as Python, C, C++ or Java
• Experience analyzing large datasets using tools such as 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.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.