Senior Applied Scientist
Core
Advance AI systems for information search by improving query understanding, retrieval, grounding data quality, and model fine-tuning to ensure relevant, accurate, and trustworthy answers.
Role type
Senior Applied Scientist (Search & AI)
Builds
AI search systems, retrieval-augmented generation (RAG) pipelines, and fine-tuned language models for grounding.
Domain
Artificial Intelligence, Information Retrieval, Search Technology
Deliverable
production ML models
Required skills
Information retrieval and search, Language model training and fine-tuning (SFT, RL), Evaluation metrics design, Statistical experimentation (A/B testing), Privacy-preserving data handling, Python, PyTorch, Large-scale data processing
Preferred skills
Publications or patents, Cross-functional mentorship, Complex result communication
Technologies
Python, PyTorch
Responsibilities
Design offline and online evaluation metrics for search quality, Build training and evaluation data using synthetic data generation, Partner with engineering and product teams to ship techniques to production, Mentor scientists and engineers on experimental rigor, Analyze real-world failures to drive model and system fixes
Seniority
Senior, hands-on IC
