Senior Machine Learning Engineer II, Ads Response Prediction
Tasks
- Apply transformer layers for sequential user behavior
- Build multi domain multi task model architectures
- Contribute to foundation model approaches for ads ranking
- Design and implement debiasing techniques
- Develop mixture of experts models for recommendation
- Develop semantic ID representation learning
- Drive generative retrieval systems for ads ranking
- Implement LoRA adaptors for domain fine tuning
- Improve model calibration across ads surfaces
- Lead research and development of pCTR and conversion prediction models
- Mitigate selection bias position bias and optimizer's curse in training data
Perks/Benefits
Skills/Tech-stack
Apache Spark | Causal Debiasing | Causal Inference | Counterfactual Risk Minimization | Counterfactual reasoning | DCN | Deep and Wide | Deep learning | DeepFM | Domain Adaptation | Inverse propensity weighting | Isotonic Regression | JAX | LoRA | Machine Learning | Mixture of Experts | Multi-task Learning | Pandas | Platt Scaling | Propensity weighting | PyTorch | Python | Recommendation Systems | Risk Minimization | SQL | Sequence Modeling | TensorFlow | Transfer Learning | Transformer
Education
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