Drimva

Quora

Senior Machine Learning Engineer, Ads - Quora (Remote)

$190K–$275K

Remote - Multiple Locations +4 · Remote · Senior · Full-time · Posted Sep 10, 2026

Location
Remote - Multiple Locations
United States
Ireland
Canada
& 13 other countries
Experience
4+ years of professional software development experience in machine learning.
Education
BS, MS or PhD in Computer Science, Engineering or a related technical field.

About the job

Develop and operate ads ranking machine-learning systems for Quora, improving prediction and ranking quality to increase advertiser value, revenue, and user relevance.

What you'll do

  • Build and improve ads ranking models, including CTR/CVR prediction, feature interactions, user-history modeling, and calibration.
  • Own ML systems end to end, from data pipelines and training through evaluation, production integration, deployment, and maintenance.
  • Partner with product, data science, and engineering teams to define objectives, run A/B experiments, and measure outcomes.

What they ask for

  • 4+ years of professional software development experience in machine learning.
  • Hands-on experience developing and deploying ads ranking models at scale, including CTR or CVR prediction and calibration.
  • Experience evaluating ranking models through offline analysis and online experiments.
  • Strong Python and production ML coding skills; hands-on deep learning experience with PyTorch or TensorFlow.

Nice to have

  • Experience with modern ranking architectures, such as feature interaction networks, attention-based user-sequence models, and multi-task learning.
  • Experience with generative recommender systems.

Pay

$189,507 - $274,604 USD (base salary); $243,330 - $282,076 CAD (base salary); $227,108 - $263,271 CAD (base salary)

Tools

Python, PyTorch, TensorFlow

AI focus

Uses AI-assisted development tools for coding, testing, debugging, or data analysis; applies machine learning and deep learning to ads ranking and recommendation.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)