Remote Machine Learning Engineer - Ads Retrieval at Reddit

Description:

The Ads Retrieval team at Reddit focuses on identifying business opportunities and providing ML models and data-driven solutions for candidate sourcing, recommendation, early ranking, and filtering in Ads upper funnel.
Responsibilities include building and iterating on candidate sourcing and early ranking Machine Learning models, designing a large-scale candidate indexing system, and enabling efficient candidate retrieval for ads recommendation and ranking.
As a machine learning engineer in the ads retrieval team, you will research, formulate, and execute end-to-end ML solutions to deliver relevant ads to users.

2+ years of experience with applied machine learning models using Tensorflow/Pytorch in large-scale ML systems.
3+ years of end-to-end experience in training, evaluating, testing, and deploying machine learning models.
Proficiency in programming languages such as Java, Python, Golang, C++, or similar, and statistical analysis.
Experience orchestrating complicated data pipelines and system engineering on large-scale datasets.
Prior experience with information retrieval and recommendation systems.
Ads domain knowledge on product and ML solutions is a plus.