Airbnb
Tech / AI / Software
SeniorStaffMachineLearningEngineer,PostTraining
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“Senior Staff Machine Learning Engineer, Post Training at Airbnb. Skills: LLM fine-tuning, model optimization, AI product development, ML infrastructure. fine-tuning state-of-the-art LLMs for diverse use cases. optimizing models for high-performance deployment on Airbnb’s ML Infrastructure”
What You'll Achieve.
enable an intelligent, scalable and exceptional service experience; deliver customer benefits
Industry & Context.
live in a state where Airbnb, Inc. has a registered entity
What They're Looking For.
Must Have
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, 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 LLM reinforcement efficient training and language model and/or multilingual and multimodal modeling., Or specialized experience in runtime optimizations, model quantization, compression, on-device inference, GPU inference, pytorch, kernel development
What You'll Do.
fine-tuning state-of-the-art LLMs for diverse use cases
optimizing models for high-performance deployment on Airbnb’s ML Infrastructure
Work with large scale structured and unstructured explore
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
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
How You'll Work.
Team & Collaboration
partner with product managers, software engineers, data scientists and operation teams to brainstorm, design and develop AI products
Full Job Description
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 that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The CS AI product team is responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The Difference You Will Make: As a principle machine learning engineer, you will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on Airbnb’s ML Infrastructure. You will partner with product managers, software engineers, data scientists and operation teams to brainstorm, design and develop AI products such as AI Assistant, Autonomous agent, recommendation, travel planning, and many more products that make meaningful impacts in the world of travel. A Typical Day: 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
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