Airbnb

1 month ago

Principal Machine Learning Engineer- LLM Fine-tuning and Optimization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Lead the fine-tuning and optimization of state-of-the-art LLMs for Airbnb’s CS AI products, deploying scalable ML solutions. Collaborate with product managers, software engineers and data scientists to design AI products (AI Assistant, autonomous agents, recommendations, travel planning) and drive architectural decisions, model evaluation, and production-ready pipelines on the Airbnb ML infrastructure.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key 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.

Key Requirements

•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 data processing for fine-tuning; responsible LLMs; LLM alignment; reinforcement learning; efficient training and inference; language model evaluation; and/or multilingual and multimodal modeling.

Experience:10+ yearsAIMachine learningLLMMultilingual modeling

Education:PhD / Doctorate

Skills:LeadershipProblem-solvingCollaborationCommunicationTeamwork

Languages:English

Tech Stack:PythonPyTorchLLMGPU inferenceInferenceQuantizationKernel development

Company Brief

Airbnb

Online marketplace that connects travelers with hosts offering short-term lodging, experiences, and long-term stays. Facilitates booking, payments, and reviews while providing tools for hosts to manage listings globally.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2008

Website LinkedIn

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Airbnb

1 month ago

Principal Machine Learning Engineer- LLM Fine-tuning and Optimization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key 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.

Key Requirements

•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 data processing for fine-tuning; responsible LLMs; LLM alignment; reinforcement learning; efficient training and inference; language model evaluation; and/or multilingual and multimodal modeling.

Experience:10+ yearsAIMachine learningLLMMultilingual modeling

Education:PhD / Doctorate

Skills:LeadershipProblem-solvingCollaborationCommunicationTeamwork

Languages:English

Tech Stack:PythonPyTorchLLMGPU inferenceInferenceQuantizationKernel development

Company Brief

Airbnb

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2008

Website LinkedIn