[As of June 2020, Quora has become a "remote-first" company. This position can be performed remotely from anywhere in the world, regardless of any location that might be specified above.]
The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people's heads, or buried in books and papers that only experts can access. More than a billion people use the internet, yet only a tiny fraction contribute their knowledge to it. 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.
Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. As a remote first company, our engineers have a high degree of flexibility and autonomy. Everyone on the engineering team has a huge impact on our product and our company.
We are looking for an experienced Machine Learning engineer to join our growing engineering team. At Quora, we use machine learning in almost every part of the product - feed ranking, monetization strategies, language modeling, notification optimization, spam detection, duplicate question identification, etc. As a machine learning expert, you will have a unique opportunity to have high impact by advancing these systems, as well as uncovering new opportunities to apply machine learning to the Quora product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.
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.