Principal Applied Scientist, Advertiser Demand Intelligence
Core
Define and drive modeling strategy for an advertising recommendations platform, architecting end-to-end ML pipelines and integrating LLMs for intelligent narrative generation.
Role type
Principal Applied Scientist (Strategy & Architecture)
Builds
End-to-end machine learning pipelines, feature stores, and LLM-based components for intelligent narrative generation.
Domain
Advertising technology, Generative AI, Large Language Models
Deliverable
production ML models | product features
Required skills
Machine learning strategy, LLM integration and fine-tuning, MLOps, predictive modeling, cross-team technical leadership, Responsible AI governance, cloud big data architecture, algorithm selection and tuning
Preferred skills
Research publication or patent history, innovation incubation, domain adaptation in heavy contexts
Technologies
Python, PyTorch, Tensorflow, Azure Synapse, Data Lake, Azure ML, MLflow
Responsibilities
Set direction on ML problem selection and LLM leverage; Architect scalable data processing workflows and deployment mechanisms; Guide development of prompt frameworks and retrieval-augmented techniques; Chair technical design reviews and align data science with product requirements; Mentor applied science team and foster scientific excellence; Establish metrics and monitor model performance for production reliability.
Seniority
Principal, strategy & mentorship
