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.

#J-18808-Ljbffr

📌 Senior Remote Machine Learning Engineer (Canada)
🏢 Devconnectplatform
📍 Canada