✨ About The Role
- Responsible for owning end-to-end execution of ML-based targeting products to automate targeting and deliver relevant audiences to advertisers
- Lead offline & online experimentation of ML models to improve targeting products and drive advertiser outcomes
- Research, implement, test, and launch new model architectures for retrieval using deep learning techniques like GNNs, transformers, and two tower models
- Drive technical roadmaps, lead project execution, and contribute to team vision and strategy
- Collaborate closely with multiple stakeholders across product, engineering, research, and marketing to enhance targeting products
âš¡ Requirements
- Experienced machine learning engineer with a strong background in developing and implementing ML systems at scale
- Skilled in training, evaluating, testing, and deploying machine learning models using Tensorflow/Pytorch
- Proficient in large-scale data processing tools like Spark, Dataflow, Kubeflow, Airflow, and BigQuery
- Ability to collaborate effectively with cross-functional teams and stakeholders to drive productization of ML research
- Strong technical leadership experience in a product team, with a focus on improving advertiser outcomes