Build production machine learning systems at Reddit using Python, model serving, and large-scale data pipelines. Work spans Consumer and Ads organizations across the platform.

As a Machine Learning Engineer, you will develop systems supporting recommendations, search, ranking, advertising, and user understanding. You will own machine learning lifecycles from problem definition and feature engineering through deployment and monitoring. The work includes deep learning, transformers, graph methods, and LLM evaluation or alignment.

Key Responsibilities:

- Design and deploy production machine learning models at scale
- Build reliable pipelines with observability and automated retraining
- Improve latency, throughput, and model quality metrics
- Partner with Product, Data Science, Infrastructure, and Engineering




- Contribute to technical strategy and long-term machine learning roadmaps

Requirements:

- Three to five-plus years operating production machine learning systems
- Robust Python, Java, Go, or similar programming skills
- Knowledge of statistical learning and deep learning architectures
- Experience with PyTorch or TensorFlow frameworks
- Experience designing scalable pipelines and model-serving infrastructure

Apply machine learning, software engineering, and production systems expertise to Reddit’s discovery, relevance, and advertising experiences.

📌 Machine Learning Engineer Reddit (Canada)
🏢 Fdetimes
📍 Canada