Senior Machine Learning Engineer, Ranking - Quora (Remote)

Overview Quora is a privately held, "remote-first" company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country. About Quora Quora’s mission is to grow the world's collective intelligence. We have two platforms: Quora, a global knowledge sharing platform with over 300M monthly unique visitors, and Poe, a platform providing millions of global users with one place to chat and explore AI models. Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation. Join us to create a positive impact and make a significant change in the world. This role will be working on our Quora product. Team and Role Our small engineering team works on challenging problems daily. We value learning, improvement, and experimentation. As a remote-first company, engineers have flexibility and autonomy. 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 distribution team, working on recommendation systems such as feed, notifications, and Quora’s digest emails and A2A. Quora uses machine learning in almost every part of the product, and recommendation systems play an important role in connecting users with content. As a ranking modeling expert, you will have a unique opportunity to have high impact by advancing our ranking model and applying the latest machine learning techniques. You will also help develop methodologies that other developers will build on top of. Responsibilities Improve our existing machine learning ranking models 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 Minimum Requirements Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time) 3+ years of professional experience working on recommendation models 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 Preferred Requirements 5+ years of experience writing Python or C++ code Experience with leading large-scale multi-engineer projects Flexible and positive team player with outstanding interpersonal skills Passion for Quora’s mission and goals Diversity and Inclusion Quora values diversity and inclusivity and welcomes individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply. We encourage all candidates who share a passion for growing the world’s knowledge to apply, even if they do not meet all the preferred requirements, as diverse perspectives can impact our products and culture. Additional Information We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy. Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. Salary ranges depend on experience, location, education, and business needs. US candidates only: For US based applicants, the salary range is $189,507 - $274,603 USD + equity + benefits. Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $248,526 - $288,100 CAD + equity + benefits. For all other locations in Canada, the salary range is $231,958 - $268,893 CAD + equity + benefits. We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team. To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding. Job Applicant Privacy Notice: #J-18808-Ljbffr