Build Quora advertising intelligence remotely with PyTorch, TensorFlow, and Python. Improve ranking models that shape advertiser value and user relevance.
As a Senior Machine Learning Engineer on Quora’s Ads ML team, you will own ranking systems end to end. Apply deep learning, recommendation modeling, and calibration to production advertising challenges. Your work spans research, data, modeling, deployment, and maintenance across Quora’s advertising platform.
Key Responsibilities: Develop ads ranking models for prediction, interactions, history, and calibration
Own pipelines, features, training data, evaluation, training, and integration
Apply deep learning within latency, reliability, and cost constraints
Design experiments measuring advertiser performance, revenue, and user relevance




Identify machine learning opportunities across the Ads product
Requirements: Four or more years developing machine learning software professionally
Hands-on ads ranking, CTR or CVR prediction, and calibration experience
Production deep learning experience with PyTorch or TensorFlow
Robust Python and mathematical machine learning foundations
Bachelor’s, master’s, or doctoral technical degree
Apply ranking expertise, production machine learning, and Python skills to advance Quora’s advertising systems and measurable outcomes.

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📌 Senior Ads Ranking Machine Learning Engineer (Manitoba)
🏢 Devconnectplatform
📍 Manitoba