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Machine Learning Engineer - Ads Retrieval, London
Client: reddit
Location: London, United Kingdom
Job Category: -
EU work permit required: Yes
Job Reference: 1f8df558ea1d
Job Views: 13
Posted: 28.04.2025
Expiry Date: 12.06.2025
Job Description:
Reddit is a community of communities built on shared interests, passion, and trust. It hosts open and authentic conversations with over ,+ active communities and approximately M+ daily active visitors, making it one of the largest sources of information on the internet. For more information, visit .
The Ads Retrieval team’s mission is to identify business opportunities and provide ML models and data-driven solutions for candidate sourcing, recommendation, early ranking, and filtering in Ads upper funnel. The team focuses on:
1. Building and iterating on candidate sourcing and early ranking ML models to find relevant, engaging, and diversified ad candidates for global optimization and product use cases.
2. Designing and establishing a large-scale candidate indexing system for efficient retrieval at millions to billions scale, balancing quality and computational efficiency for ads recommendation and ranking.
As a machine learning engineer in this team, you will research, formulate, and execute solutions to build end-to-end ML systems that deliver the right ad to the right user in the right context using data and ML-driven approaches.
Your Responsibilities:
* Build ads retrieval and early ranking systems for critical ML tasks using advanced industrial techniques.
* Research, implement, test, and deploy new model architectures including information retrieval, ANN, recommendation systems, and deep neural networks within high-dimensional information systems.
* Work on large-scale data systems, backend services, and product integration.
* Collaborate closely with cross-functional stakeholders including product, engineering, research, and marketing teams.
Who You Might Be:
* + years of experience with applied machine learning models using TensorFlow/PyTorch with large-scale ML systems.
* + years of end-to-end experience in training, evaluating, testing, and deploying ML models.
* Proficiency in programming languages such as Java, Python, Golang, C++, or similar, and statistical analysis.
* Experience orchestrating complex data pipelines and system engineering on large datasets.
* Prior experience with information retrieval and recommendation systems.
* Ads domain knowledge on product and ML solutions is a plus.
Benefits:
* Pension Scheme
* Private Medical and Dental Scheme
* Life Assurance, Income Protection
* Workspace benefit for your home office
* Personal & Professional development funds
* Family Planning Support
* Commuter Benefits
* Flexible Vacation & Reddit Global Days Off
Join us at Reddit and help build a community that is inclusive and empowering for everyone.
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