Description:

Quora is a remote-first company, allowing this position to be performed from multiple countries around the world.
The mission of Quora is to grow the world's collective intelligence through its platforms: Quora and Poe.
The role is focused on the Quora product, specifically working on recommendation systems such as feed, notifications, and digest emails.
The engineering team values a culture of learning, improvement, and experimentation, providing engineers with flexibility and autonomy.
The Senior Machine Learning Engineer will improve existing ranking models, identify new machine learning opportunities, collaborate with other engineers, and take ownership of machine learning systems from data pipelines to production integration.

Requirements:

Candidates must be available for meetings during Quora's coordination hours (Mon-Fri: 9am-3pm Pacific Time).
A minimum of 3 years of professional experience working on recommendation models is required.
A good understanding of the mathematical foundations of machine learning algorithms is necessary.
Previous experience in building end-to-end machine learning systems is essential.
Strong communication and interpersonal skills are required.
A BS, MS, or PhD in Computer Science, Engineering, or a related technical field is mandatory.

Quora offers a comprehensive benefits package including medical, dental, and vision coverage.
Employees receive equity refreshers and remote work reimbursement.
Paid time off and employee assistance programs are included in the benefits.
Benefits are country-specific and may vary; more information can be found on Quora's careers page.
For US candidates, the salary range is $189,507 - $274,603 USD plus equity and benefits.
For Canadian candidates, the salary range varies by location, with specific ranges provided for Toronto, Vancouver, and other locations.

Skills

Benefits