Principal Applied Scientist
Core
Advance R&D in retrieval, ranking, matching, and generative models; train, fine-tune, align, and productionize SLMs/LLMs; evolve the Ads ranking platform.
Role type
Principal Applied Scientist (AI/ML)
Builds
Ads ranking platform, production ML models (SLMs/LLMs)
Domain
Advertising, Machine Learning, Large Language Models
Deliverable
production ML models
Required skills
SLM/LLM training and fine-tuning, multi-stage ranking pipeline design, distributed training on large datasets, deep learning frameworks (PyTorch, TensorFlow, Hugging Face), technical leadership, cross-org strategy alignment, scaling recommendation systems
Preferred skills
Publications in tier-1 venues (NeurIPS, ICML, KDD, WWW, ACL, SIGIR), experience with massive query/item spaces
Technologies
PyTorch, Hugging Face, TensorFlow
Responsibilities
Set technical direction and coach distributed teams, influence platform architecture and cross-team roadmaps, follow AI research trends to maintain state-of-the-art solutions, collaborate with research and engineering teams
Seniority
Principal, hands-on IC with strategic leadership
