Remote Otter LogoRemoteOtter

Staff Machine Learning Engineer - Remote

Posted Yesterday
Software Development
Full Time
Worldwide
$195,394 - $300,490 USD/year (US candidates), $256,246 - $315,259 CAD/year (Toronto and Vancouver), $239,163 - $294,241 CAD/year (other locations in Canada)

Overview

This role involves working on Quora's product, focusing on machine learning systems and recommendation algorithms within a remote-first company culture.

In Short

  • Join a remote-first company with a collaborative culture.
  • Work on improving machine learning systems.
  • Identify new machine learning opportunities for the product.
  • Collaborate with other engineers on efficient algorithm implementation.
  • Take ownership of end-to-end machine learning systems.
  • 5+ years of professional software development experience required.
  • 3+ years of experience in recommendation systems preferred.
  • Good understanding of machine learning algorithms is essential.
  • Strong communication and interpersonal skills are necessary.
  • Flexible working hours during coordination hours.

Requirements

  • 5+ years of professional software development experience in machine learning.
  • 3+ years of experience working on recommendation systems.
  • Strong mathematical foundation in machine learning algorithms.
  • Experience building end-to-end machine learning systems.
  • Good communication and interpersonal skills.
  • BS, MS, or PhD in Computer Science, Engineering, or related field.

Benefits

  • Medical/dental/vision coverage.
  • Equity refreshers.
  • Remote work reimbursement.
  • Paid time off.
  • Employee assistance programs.
Quora logo

Quora

Quora is a dynamic technology company focused on building innovative AI products, such as Poe, which enhances user interaction through advanced features and a robust bot ecosystem. The company promotes a collaborative work environment, allowing employees to work remotely from various countries while engaging with cross-functional teams. Quora values sustainable coding practices and user experience, making it an ideal place for skilled software engineers to contribute to large-scale projects and develop their expertise.

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