Machine Learning Developer / Engineer

Social network you want to login/join with: Machine Learning Engineer - Ads Retrieval, London EU work permit required: Reddit is a community of communities. Every day, Reddit users submit, vote, and comment on the topics they care most about. With ,+ active communities and approximately M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. 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. Build and iterate on candidate sourcing and early ranking Machine Learning models and algorithms to find the most relevant, engaging, and diversified ad candidates for global optimization and various product use cases. Design and establish a large-scale candidate indexing system to enable efficient candidate retrieval at a scale of millions to billions, powering ads recommendation and ranking with a good balance between quality and computation efficiency. As a machine learning engineer in the ads retrieval team, you will research, formulate, and execute our mission to build end-to-end ML solutions and deliver the right ad to the right user under the right context with data and ML-driven solutions. Building ads retrieval and early ranking systems for critical ML tasks using advanced industrial-level techniques. Research, implement, test, and launch 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. 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 machine learning models. ~ Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis. ~ Experience orchestrating complex data pipelines and system engineering on large-scale datasets. ~ Ads domain knowledge on product and ML solutions is a plus. Pension Scheme Private Medical and Dental Scheme Life Assurance, Income Protection Workspace benefit for your home office Personal & Professional development funds Commuter Benefits Flexible Vacation & Reddit Global Days Off Join us at Reddit, and help us build a community that is inclusive and empowering for everyone. #