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 enable AI products like AI Assistants and autonomous agents.
Role type
Principal Machine Learning Engineer (LLM Fine-tuning & Optimization)
Builds
AI products including AI Assistants, autonomous agents, recommendation systems, and travel planning tools for guests and hosts.
Domain
Travel industry + Generative AI / Large Language Models
Deliverable
production ML models
Required skills
LLM fine-tuning, model optimization, inference runtime optimization, model quantization/compression, PyTorch, Python, data processing for fine-tuning, LLM alignment, reinforcement learning, language model evaluation, multilingual/multimodal modeling, kernel development
Preferred skills
Peer-reviewed AI conference publications (NeurIPS, CVPR, ICML, ICLR, ICCV, ACL), Customer Support Systems AI experience, Agile AI production lifecycle experience, Infrastructure Acumen for scaling business-critical AI services
Technologies
PyTorch, LLMs, RAG/Search, GPU inference, on-device inference
Responsibilities
Explore and build foundation models for product/business use cases; Create multi-year tech roadmaps for AI landscape leadership; Evaluate and refine large foundational models; Prototype and productionize LLM models/pipelines at scale (batch and real-time); Drive key AI architectural decisions and contribute to ML platform strategy
Seniority
Principal, hands-on IC with strategy & mentorship