Machine Learning Tech Lead, Quora

• Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
• 7+ years of professional software development experience in machine learning
• 4+ years of professional experience building and optimizing Home Feed recommendation systems for social media and user-generated content platforms
• Good understanding of mathematical foundations of machine learning algorithms
• Previous experience building end-to-end machine learning systems
• Good communication and interpersonal skills
• BS, MS, or PhD in Computer Science, Engineering, or a related technical field
• We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture

Desirable

• 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
• As a remote-first company, our engineers have a high degree of flexibility and autonomy
• Everyone on the engineering team has a significant impact on our product and our company
• We are looking for an experienced Machine Learning engineer to join our growing engineering team, working on recommendation systems such as feed, notifications, and Quora’s famous digest emails and A2A
• At Quora, we use machine learning in almost every part of the product and recommendation systems play an important role in connecting users with content
• As a recommendation systems expert, you will have a unique opportunity to have high impact by advancing our ranking 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 will build on top of
• Improve our existing machine learning systems using your core coding skills and ML knowledge
• Identify new opportunities to apply machine learning to different parts of the Quora product
• Work with other machine learning engineers to implement algorithms and systems efficiently
• Take end-to-end ownership of machine learning systems - data pipelines, candidate extraction, feature engineering, model training, as well as integration into our production systems