Machine Learning Engineer - Ads Conversion Modeling

As a company, Reddit primarily generates revenue through advertising, and we're working towards building a massive business to fund our mission. We distinguish ourselves from other digital ad platforms by attracting advertisers who want to connect with a specific target audience because of our passionate and engaged communities.

The Ads Conversions Modeling Team is entrusted with the development and maintenance of a diverse set of Machine Learning models that are responsible for predictions regarding user conversions after engaging with Reddit. The creation and enhancement of these models plays a crucial role in our organization's efforts to optimize advertising effectiveness and drive business growth. We are looking for a motivated engineer that will help us advance our vision. As a diverse group of software engineers, product managers, data scientists, and ads experts, we are excited for you to join our team!

As a machine learning engineer in the Ads Conversion Modeling Team, you will research, formulate, and execute projects, and actively participate in the end-to-end implementation process. You will collaborate with cross-functional teams to ensure successful product delivery. You will also be able to contribute your expertise and shape the future of ads ML at Reddit!

Your Responsibilities:

• Building industrial-level models for critical ML tasks with advanced modeling architectures and techniques 
• Research, implement, test, and launch new model architectures including deep neural networks with advanced pooling and feature interaction architectures
• Systematic feature engineering works to convert all kinds of raw data in Reddit (dense & sparse, behavior & content, etc) into features with various FE technologies such as aggregation, embedding, sub-models, etc.  
• Contribute meaningfully to team strategy. We give everyone a seat at the table and encourage active participation in planning for the future

Who You Might Be:

• Tracking records of consistently driving KPI wins through systematic works around model architecture and feature engineering
• 3+ years of experience with industry-level Machine Learning models
• 3+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch)
• 3+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models
• Deep learning experience is a strong plus
• Experience in orchestrating complicated data generation pipelines on large-scale dataset is a plus
• Experience with Ads domain is a plus
• Experience with Recommendation Systems is a plus

Benefits:

• Pension Savings plan 
• Medical Plan
• Short term sickness benefits 
• WIA excess and WGA gap insurance 
• Workspace benefits for your home office 
• Personal & Professional development funds
• Family Planning Support 
• Flexible Vacation & Reddit Global Days Off

Join us at Reddit, and help us build a community that is inclusive and empowering for everyone.

This role is remote within the Netherlands and the UK

#Li-remote

Last updated on Aug 21, 2024