Facebook’s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we’re building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we’re creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities – we’re just getting started.

We are looking for Machine Learning Engineers to join our Conversational AI Group in Menlo Park and Seattle. The Conversational AI group built M, Messenger’s in-thread assistant that proactively recommends stickers, polls, restaurants, movie tickets and so much more to more than 1.3 billion people that use Facebook Messenger every month. This journey is only 1% finished, and assistant features within Messenger today represent only initial steps in terms of what we expect a truly social assistant to be able to do in the years ahead. We are looking for candidates interested in advancing the state of the art in Dialog Systems, especially in areas such as Natural Language Understanding, Dialog Management, Natural Language Generation, and Question Answering.
The ideal candidate will have a strong background in developing Dialog systems, a strong knowledge of ML, NLP and neural networks, and have experience working with massive amounts of data. They should also have strong software engineering skills and the ability to build systems that reach Facebook scale.

Conduct research to advance the state of the art in neural networks especially in the context of Dialog Systems
Utilize that research to develop and deploy scalable neural network models into production to impact billions of people using Facebook
Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies
Apply expert coding skills to platform development projects in partnership with other engineers
Adapt machine learning and neural network algorithms for training competitive, state-of-the-art models while make the best use of modern parallel environments (e.g. distributed clusters, GPU)




Minimum Qualification
MS degree in Computer Science or related quantitative field with 5+ years of similar experience, or Ph.D. degree in Computer Science or related quantitative field
Knowledge of machine learning and deep learning research
Experience building systems based on machine learning and/or deep learning methods
Experience in C++ and Python
Experience with filesystems, server architectures, and distributed systems

Educational level:

Master Degree

Level of experience (years):

Senior (5+ years of experience)

How to apply:

Please mention NLP People as a source when applying


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About Facebook

Founded in 2004, Facebook’s mission is to make the world more open and connected. People use Facebook to stay connected with friends and family, to discover what’s going on in the world, and to share and express what matters to them.

Learn about Facebook career opportunities, visit us at: www.facebook.com/careers