Senior Ads ML Engineer: Remote, End-to-End Impact

Quora

Mexico

On-site

PHP 11,881,000 - 17,217,000

Full time

14 days+
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Benefits offered by this job

Medical coverage
Remote work stipend
Paid time off
Equity

Job summary

Quora is a remote-first company where you will join the Ads ML team as a machine learning engineer focused on ranking and prediction quality. You will own problems end-to-end—from data pipelines and feature engineering to model training and production deployment, impacting ad relevance and revenue.

Work on CTR/CVR prediction, model calibration, and user/ad representations. You’ll collaborate with product and engineering teams, iterate quickly, and help scale ads ranking at Quora’s global

Qualifications

  • 4+ years of professional software development in ML.
  • Hands-on experience deploying ads ranking models at scale (CTR/CVR).
  • Experience with offline analysis and online experiments.
  • Experience with AI-assisted development tools for coding, testing, debugging.

Responsibilities

  • Develop and improve ads ranking models with feature interactions and user-history modeling.
  • Own end-to-end ML systems from data pipelines to production deployment.
  • Evaluate advances in deep learning to improve ranking within constraints.
  • Collaborate with ML platform and product engineers to build scalable systems.
  • Partner with teams to define ranking objectives and run A/B tests.
  • Identify opportunities to apply ML to other parts of the Ads product.

Skills

Python
PyTorch
TensorFlow
Machine learning
Production ML code
CTR/CVR prediction
Online experimentation
Model calibration
Data pipelines
Leadership

Education

BS in CS/Engineering
MS/PhD in CS/Engineering

Tools

TensorFlow Serving

Job description

Quora is a remote-first company where you will join the Ads ML team as a machine learning engineer focused on ranking and prediction quality. You will own problems end-to-end—from data pipelines and feature engineering to model training and production deployment, impacting ad relevance and revenue.

Work on CTR/CVR prediction, model calibration, and user/ad representations. You’ll collaborate with product and engineering teams, iterate quickly, and help scale ads ranking at Quora’s global

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