About this role
Reddit is seeking a remote Senior Machine Learning Engineer in Ontario, Canada, to design and scale core machine learning systems across consumer and ads organizations. This opportunity suits experienced engineers who want to build end-to-end production models and shape the future of discovery on a massive global platform.
Role Overview
Machine learning is central to how millions of people discover content, connect, and engage across Reddit's vast network of communities. In this role, engineers tackle complex applied machine learning problems at internet scale, influencing personalized recommendations, search relevance, advertising systems, and marketplace dynamics. The position offers collaboration across multiple specialized teams, ranging from feed relevance and search to advertiser optimization and foundational representations.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Reddit is a community of communities built on shared interests, passion, and trust, featuring over 100,000 active communities and approximately 130 million daily active unique visitors. As one of the internet's largest sources of information, the company fosters authentic conversations and powers discovery for millions of users worldwide.
How to Apply
Interested candidates should visit the official Reddit careers page to submit an application for this remote opportunity.
Skills and tech stack
Questions candidates ask
Where is this position located?
This role is remote based out of Ontario, Canada.
How many years of experience are required?
The role requires three to five or more years of experience building, deploying, and operating machine learning systems in production.
What core technologies and frameworks are used?
Engineers work with Python, PyTorch, TensorFlow, Java, Spark, Kafka, Airflow, and large language model technologies.
What types of systems will I be building?
You will build personalized recommendations, search and ranking systems, advertising systems, large-scale ML pipelines, and LLM-driven experiences.
How should I apply for this job?
Candidates can apply directly through the official company careers page.
