Airbnb
Travel
PrincipalMachineLearningEngineer-LLMFine-tuningandOptimization
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“Principal Machine Learning Engineer- LLM Fine-tuning and Optimization at Airbnb. Skills: LLM Fine-tuning, Model Optimization, Machine Learning. Fine-tuning state-of-the-art LLMs. Optimizing models for high-performance deployment”
Industry & Context.
Must 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, specialized experience in runtime optimizations, model quantization, compression, on-device inference, GPU inference, pytorch, kernel development
Nice to Have
PhD in AI, machine learning, data science, or related technical fields, Publications at peer-reviewed AI conferences (e. g. , NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL), Experience with AI technologies in customer support applications, Experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain, Experience deploying and scaling business-critical AI services and driving architectural requirements on ML infrastructures
What You'll Do.
Fine-tuning state-of-the-art LLMs
Optimizing models for high-performance deployment
Brainstorm AI products
Work with large scale structured and unstructured data
Explore foundation models
Experiment foundation models
Build foundation models
Improve foundation models
Create multi-year tech roadmap
Evaluate large foundational models
Productionize LLM models
Drive AI architectural decisions
Contribute to ML platform architecture
How You'll Work.
Team & Collaboration
Partner with product managers; Partner with software engineers; Partner with data scientists; Partner with operation teams
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. 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. What you will do: As a principal 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 trave
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