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Описание вакансии
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TL;DR
Principle Machine Learning Engineer (AI): Fine-tuning state-of-the-art LLMs and optimizing them for high-performance deployment on Airbnb's ML infrastructure with an accent on LLM alignment, RAG, and model optimization. Focus on designing and productionizing AI products such as AI Assistants and Autonomous agents to enhance the customer service experience.
Location: Remote (US) — Must live in a state where Airbnb, Inc. has a registered entity
Salary: $248,000 — $310,000 USD
Company
Airbnb is a global travel platform that enables hosts and guests to connect through unique stays and experiences across the globe.
What you will do
- Fine-tune and optimize state-of-the-art LLMs for diverse use cases and high-performance deployment.
- Experiment with and improve foundation models for product, business, and operational use cases using large-scale data.
- Develop and productionize LLM models and pipelines for both batch and real-time applications.
- Design a multi-year tech roadmap to ensure the team stays at the leading edge of the AI landscape.
- Drive key AI architectural decisions and contribute to the overall ML platform strategy.
Requirements
- PhD in Computer Science, Machine Learning, Mathematics, Statistics, or a related technical field.
- 10+ years of experience developing ML models and products at scale from inception to business impact.
- Proficiency in Python and hands-on experience with PyTorch.
- Proven record of training, fine-tuning, and optimizing model inference run-time.
- Must live in a state where Airbnb, Inc. has a registered entity.
Nice to have
- Post-training experience in LLM alignment, reinforcement learning, and multimodal modeling.
- Specialized experience in model quantization, compression, or GPU kernel development.
Culture & Benefits
- Remote-eligible work arrangement with occasional office visits or offsites.
- Competitive base pay, bonus, and equity eligibility.
- Employee Travel Credits.
- Inclusive work environment with a strong commitment to diversity and disability accessibility.
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