Note: The job is a remote job and is open to candidates in USA. Airbnb was born in 2007 and has since grown to over 5 million hosts. They are seeking a Senior Staff Machine Learning Engineer to fine-tune state-of-the-art LLMs and optimize models for high-performance deployment on Airbnb’s ML Infrastructure, collaborating with various teams to develop impactful AI products.
Responsibilities
- 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
Skills
- PhD in Computer Science, Machine Learning, Mathematics, Statistics, or related technical field
- 10+ 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
- Or specialized experience in runtime optimizations, model quantization, compression, on-device inference, GPU inference, pytorch, kernel development
Benefits
- Bonus
- Equity
- Benefits
- Employee Travel Credits
Company Overview
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