Machine Learning Engineer

1 week geleden

Amsterdam, Noord-Holland, Nederland reddit Voltijd
Reddit is a community of communities. It's built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. 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. For more information, visit .

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 + years of experience with industry-level Machine Learning models + years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch) + 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.

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