Quora

Senior Machine Learning Engineer, Ranking - Quora (Remote)

Quora
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9 hours ago
Remote, United States +2 moreSenior
H1B sponsor

Base Salary

$190k - $275k/yr

Responsibilities

  • Improve existing machine learning ranking models through coding and machine learning expertise.
  • Own end-to-end machine learning systems, including data pipelines, candidate extraction, feature engineering, model training, and production integration.
  • Identify new opportunities to apply machine learning across the Quora product.
  • Collaborate with other machine learning engineers to implement algorithms and systems efficiently.

Requirements

  • At least 3 years of professional experience working on recommendation or ranking models.
  • Strong understanding of the mathematical foundations of machine learning algorithms.
  • Previous experience building end-to-end machine learning systems.
  • Bachelor’s, master’s, or PhD in Computer Science, Engineering, or a related technical field.
  • Preferred: 5+ years of experience writing Python or C++ code.
  • Preferred: experience with generative recommendation systems, user behavior or sequence modeling, transformers, or long-sequence modeling applied to ranking.
  • Preferred: experience leading large-scale multi-engineer projects.
  • Availability for communication during Quora’s Monday–Friday, 9 a.m.–3 p.m. Pacific Time coordination hours.

Benefits

  • Remote-first work arrangement from eligible countries.
  • Medical, dental, and vision coverage.
  • Equity refreshers and a flexible equity program in eligible countries.
  • Remote work reimbursement, paid time off, and employee assistance programs.
  • Benefits are country-specific and may vary.

Tech Stack

Categories

Quora

About Quora

1,001-5,000 employees

Quora builds a global Q&A platform where people share and discover knowledge, and Poe, a multi-model AI chat app that lets users and creators build and monetize bots. Its business model includes advertising and subscriptions such as Quora+ and Poe. Privately held, founded in 2009 and headquartered in Mountain View, California, it serves a worldwide audience with hundreds of millions of monthly visitors.

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