Principal Machine Learning Engineer- LLM Fine-tuning and Optimization
Core
Fine-tuning state-of-the-art LLMs and optimizing models for high-performance deployment on Airbnb's ML Infrastructure to power AI products like AI Assistants and autonomous agents.
Role type
Principal Machine Learning Engineer (LLM Fine-tuning & Optimization)
Builds
Production LLM models, pipelines, and AI products (AI Assistant, Autonomous agents, recommendation systems) for Customer Support and Travel Planning.
Domain
Travel / Generative AI / Large Language Models
Deliverable
production ML models
Required skills
LLM fine-tuning, model optimization, inference runtime optimization, data processing for fine-tuning, LLM alignment, reinforcement learning, model evaluation, multilingual/multimodal modeling, PyTorch, Python, kernel development, model quantization, GPU inference
Preferred skills
Peer-reviewed AI conference publications (NeurIPS, CVPR, ICML, ICLR, ICCV, ACL), Customer Support Systems AI experience, Agile AI production lifecycle experience, ML infrastructure architecture experience
Technologies
PyTorch, Python, LLMs, RAG, GPU
Responsibilities
Explore, experiment, and build foundation models for product and operational use cases; Create multi-year tech roadmaps for AI landscape leadership; Evaluate and refine large foundational models; Prototype, develop, and productionize LLM models and pipelines at scale; Drive key AI architectural decisions for products and ML platform strategy.
Seniority
Principal, hands-on IC with strategy & mentorship
