Senior Machine Learning Engineer, Ranking - Quora (Remote)
About the role
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About Quora
Quora's mission is to grow the world's collective intelligence. To do so, we have two platforms:
- Quora : a global knowledge sharing platform with millions of monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
- Poe : a cloud workspace where millions of users run multiple AI agents on shared context and tools. One subscription, every frontier model, and the collaboration layer that makes them work together.
Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.
About the Team and Role
Responsibilities
- Improve our existing machine learning ranking models using your core coding skills and ML knowledge
- 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
- 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
Minimum Requirements
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- 3+ years of professional experience working on recommendation or ranking 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 generative recommendation systems
- Experience with user behavior or user sequence modeling, transformers, or long sequence modeling applied to ranking
- Experience with leading large-scale multi-engineer projects
- Flexible and positive team player with outstanding interpersonal skills
- Passion for Quora's mission and goals
At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. 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.
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. There are many factors that will determine the starting compensation, including but not limited to experience, location, education, and business needs.
- US candidates only: For US based applicants, the salary range is $189,507 - $274,604 USD + equity + benefits.
- Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $243,330 - $282,076 CAD + equity + benefits. For all other locations in Canada, the salary range is $227,108 - $263,271 CAD + equity + benefits.
- In equity-eligible countries, we currently also offer a flexible equity program where a portion of equity compensation may be taken as cash.
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. 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: https://careers.quora.com/quora-global-job-applicant-privacy-notice
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Not included in the source posting: benefits.
Skills
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