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.

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