The opportunity
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences…
What you'll do
Work with large scale structured and unstructured data; explore, experiment,: build and continuously improve foundation models for Airbnb product, business and operational use cases.
Create a multi-year tech roadmap that enables our team to stay on the leading: edge of the rapidly evolving AI landscape and leverage the best in class technologies to deliver customer benefits.
Continuously evaluate recent and upcoming large foundational models, ensuring: the selection and refinement of the highest quality models for enhanced performance and efficiency.
Hands-on prototype, develop and productionize LLM models and pipelines at: scale, including both batch and real-time use cases.
Drive key AI architectural decisions for products, and contribute to Airbnb’s: ML platform architecture and strategy.
PhD in Computer Science, Machine Learning, Mathematics, Statistics, or related technical field.
What they're looking for
- + years of experience with developing machine learning models and products at: scale from inception to business impact.
- Programming experience in Python and hands-on experience with frameworks such as PyTorch.
- Proven record of training, fine tuning, optimizing models and inference run-time
- Post-training experience in areas like data processing for fine-tuning;: responsible LLMs; LLM alignment; reinforcement learning; efficient training and inference; language model evaluation; and/or multilingual and multimodal modeling.
