We are looking for an experienced Machine Learning leader to join our growing engineering team. At Quora, we use Machine Learning in many parts of the product - feed ranking, spam detection, topic and user recommendations are just some of the examples (see this post in our Engineering blog for more details). As a Machine Learning expert, you will have a unique opportunity to have high impact by leading the teams that advance these systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product. Your will also play a key role in proposing and leading the development of machine learning tools and abstractions.
Provide technical guidance in a broad range of ML experiments and projects across several teams
Mentor expert machine learning engineers
Identify new opportunities to apply Machine Learning to different parts of the Quora product
Lead changes in our Machine Learning systems and infrastructure
Partner with other teams such as Data, Design and Product to collaborate on projects across the company
Work closely with Engineering Managers to expand the team, including interviewing candidates, and participating in conferences/events
7+ years of industry/academic experience in Machine Learning or related field
You will be expected to have a good understanding of a broad range of traditional supervised and unsupervised techniques (e.g. logistic regression, SVMs, GBDTs, Random Forests, k-means and other clustering techniques, matrix factorization, LDA . . .) as well as be up to date with latest ML advances (e.g. Deep Neural Networks, or non-parametric Bayesian methods).
Previous experience building end to end scalable Machine Learning systems
Software engineering skills. Knowledge of Python and C++ is a plus.
Knowledge of existing open source frameworks such as scikit-learn, Torch, Caffe, or Theano is a plus
BS, MS, or PhD in Computer Science, Engineering, Statistics or a related technical field
Love of the Quora product
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We want to democratize access to knowledge of all kinds—from politics to painting, cooking to coding, etymology to experiences—so if someone out there knows something, anyone else can learn it. Our mission is to share and grow the world's knowledge, and we're building a world-class team to help us achieve this mission.