✨ About The Role
- The senior machine learning engineer will be responsible for the end-to-end execution of ML-based targeting products, including smart targeting expansion and keyword targeting.
- The role involves conducting offline and online experimentation of ML models to enhance targeting products and drive advertiser outcomes.
- The engineer will research, implement, test, and launch new model architectures using deep learning techniques such as GNNs and transformers.
- The position requires driving technical roadmaps and leading daily project execution while contributing to the team's vision and strategy.
- Collaboration with multiple stakeholders across product, engineering, research, and marketing is a key aspect of the job to ensure successful product integration.
âš¡ Requirements
- The ideal candidate will have over 5 years of experience in applied machine learning, particularly in leading projects that involve large-scale ML systems.
- A strong proficiency in TensorFlow or PyTorch is essential, as the role requires hands-on experience with training, evaluating, testing, and deploying machine learning models.
- Experience with data processing and pipeline orchestration tools such as Spark, Dataflow, or Airflow is crucial for success in this position.
- The candidate should have a background in working with cross-functional teams, including product, engineering, and research, to effectively productize ML research.
- Familiarity with deep learning techniques, especially in the context of retrieval systems, will be beneficial for the role.