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Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (AI): Building query-understanding models and scalable machine-learning pipelines for Airbnb search and recommendation with an accent on NLP, LLMs, multimodal data, and low-latency serving. Focus on developing autocomplete, entity extraction, intent classification, query expansion, and natural-language search capabilities across batch and real-time systems.
Location: US remote eligible; residence is required in a state where Airbnb, Inc. has a registered entity. Occasional work at an Airbnb office or attendance at offsites may be required by agreement with the manager.
Salary: $200,000–$235,000 USD base pay per year, with possible bonus, equity, benefits, and Employee Travel Credits.
Company
Airbnb operates a global platform for stays and experiences, connecting hosts and guests in communities around the world.
What you will do
- Build and continuously improve machine-learning models for search, recommendation, and query understanding.
- Develop autocomplete, smart compose, query tagging, named-entity recognition, query expansion, and user-intent modeling capabilities.
- Create natural-language and multimodal search experiences using modern NLP and large language models.
- Develop, productionize, and operate machine-learning models and pipelines for batch and real-time use cases.
- Collaborate with software engineers, product managers, operations, and data scientists to prioritize requirements and measure business impact.
- Improve model development, low-latency serving, experimentation efficiency, and quality maintenance at scale.
Requirements
- 5+ years of industry experience in applied machine learning, including relevant MS or PhD experience.
- Strong programming and data-engineering skills in Scala, Python, Java, C++, or equivalent technologies.
- Deep knowledge of machine-learning best practices, neural networks, deep learning, optimization, NLP, personalization, search, recommendation, and marketplace optimization.
- Experience with at least three of TensorFlow, PyTorch, Kubernetes, Spark, Airflow, Kafka, data warehouses, or equivalent tools.
- Experience building end-to-end machine-learning models and applying LLMs and modern NLP techniques such as sequence tagging, NER, text generation, intent classification, or representation learning.
- Must live in an eligible US state where Airbnb, Inc. has a registered entity.
Nice to have
- Experience building natural-language, AI-native, and agentic search experiences.
- Familiarity with large-scale software architecture, well-designed APIs, high-volume data pipelines, and efficient algorithms.
Culture & Benefits
- Collaboration with cross-functional teams across Airbnb.
- Remote work eligibility within the United States, with occasional office or offsite attendance.
- Potential bonus, equity, benefits, and Employee Travel Credits.
- Commitment to an inclusive and accessible application and interview process.
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