Machine Learning Engineer
4 weken geleden
At Reddit, we're building a massive business to fund our mission, and we're looking for a motivated engineer to help us advance our vision. As a diverse group of software engineers, product managers, data scientists, and ads experts, we're excited to have you join our team.
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.
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
We're committed to building a community that is inclusive and empowering for everyone. If you're passionate about machine learning and want to be part of a team that's shaping the future of ads, we'd love to hear from you.
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