[ 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.]

About Quora:

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.

About the Team:

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. Everyone on the engineering team has a huge impact on our product and our company.

To fully achieve our mission, we need to make sure that the knowledge on Quora will improve and last forever. Revenue from our monetization efforts plays a critical role in empowering us to do that.  In just two years since we first launched our advertising platform, we've already grown to support thousands of advertisers who are reaching over 300 million monthly unique visitors on Quora. Our journey is just beginning as we continue to build new products from the ground up and tackle exciting challenges at scale. Today, we're working on a broad range of areas to support our data-intensive needs: metrics and insights reporting, audience targeting, low-latency real-time ad delivery, and a suite of advertiser tools to create and optimize campaigns, to name just a few.

About the Role:

At Quora, we use Machine Learning in various parts of the product - feed ranking, spam detection, topic and user recommendations, etc. Our team of Machine Learning Engineers and have high impact by advancing the current Machine Learning 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.

Responsibilities:

• Improve our existing Machine Learning systems using your expertise
• Identify new opportunities to apply Machine Learning to different parts of the Quora product
• Work with other engineers to implement algorithms and systems in an efficient way
• Take end-to-end ownership of Machine Learning systems -- from data pipelines and training, to realtime prediction engine.

Minimum Qualifications:

• B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
• Strong understanding of mathematical foundations of Machine Learning algorithms
• Knowledge of Python or C++, or the ability to learn them quickly
• A passion for learning and always improving yourself and the team around you

Preferred Qualifications:

• Previous software engineering experience via an internship, work experience or coding competition
• Passion for Quora's mission and goals

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.

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