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Senior Machine Learning Engineer, Ads Covernsion Modeling - Remote Eligible
Research and implement advanced machine learning models to enhance ad conversion predictions.
Remote
Senior
2 weeks ago
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✨ About The Role
- The role involves building industrial-level models for critical machine learning tasks using advanced modeling architectures and techniques.
- The engineer will research, implement, test, and launch new model architectures, including deep neural networks with advanced pooling and feature interaction architectures.
- Systematic feature engineering will be a key responsibility, converting various types of raw data into usable features.
- The position requires active participation in team strategy and planning for future projects.
- The engineer will collaborate with cross-functional teams to ensure successful product delivery.
âš¡ Requirements
- The ideal candidate will have a proven track record of driving key performance indicator (KPI) wins through systematic work around model architecture and feature engineering.
- A minimum of 3 years of experience with industry-level deep learning models is required.
- Candidates should have at least 4 years of end-to-end experience in training, evaluating, testing, and deploying industry-level models.
- Experience with mainstream machine learning frameworks such as TensorFlow and PyTorch is essential.
- The successful candidate will be a mentor and advocate for cross-functional collaboration within the team.
Senior Machine Learning Engineer, Ads Covernsion Modeling - Remote Eligible
Remote
Engineering
About Reddit
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