Research Scientist

Who you are

You hold a PhD and have a strong background in quantitative methods, with expertise in areas such as artificial intelligence, machine learning, statistics, causal inference, and experimentation. You have a passion for building data-driven products and forming research frameworks to tackle real-world challenges. Your experience includes publications in relevant research areas, showcasing your ability to contribute to innovative solutions.

You thrive in interdisciplinary environments and enjoy collaborating with teams of quantitative scientists. Your analytical mindset allows you to drive impact across a range of products and company operations. You are motivated by the opportunity to apply your research skills to solve complex problems and contribute to Meta's success.

What you'll do

As a Research Scientist on the Central Applied Science team, you will leverage your expertise to conduct research that informs product development and operational strategies. You will collaborate with cross-functional teams to design and implement experiments that test hypotheses and validate findings. Your work will involve analyzing data to derive insights that can guide decision-making and enhance product offerings.

You will be responsible for developing research frameworks that address challenging questions and contribute to the advancement of Meta's technology and services. Your role will require you to stay current with the latest developments in AI and machine learning, ensuring that your research is at the forefront of the field. You will also have the opportunity to publish your findings and share your knowledge with the broader scientific community.

What we offer

At Meta, you will be part of a dynamic team that values innovation and collaboration. We provide a supportive environment where you can grow your skills and advance your career. You will have access to cutting-edge resources and the opportunity to work on impactful projects that shape the future of technology. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.