Senior Machine Learning Engineer, Query Intelligence

Airbnb
United States
Workplace: RemoteFull timeUSD 200,000 - 235,000Function: Data Science & Machine LearningExperience: 5+ yearsEducation: mastersSkills: ["Cross-functional collaboration","Requirements prioritization","Quantifying impact"]

Build query intelligence for Airbnb search and recommendations, turning free-form guest input into accurate intent understanding across Stays, Experiences, and Services. Develop and productionize end-to-end ML models and pipelines for autocomplete, smart compose, query tagging (sequence tagging/NER), query expansion, and intent modeling—using modern NLP and large language models. Collaborate with software engineers, product managers, operations, and data scientists to prioritize requirements and measure impact at scale.

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FursaFursa
Airbnb
Airbnb
2 months ago

Senior Machine Learning Engineer, Query Intelligence

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Build query intelligence for Airbnb search and recommendations, turning free-form guest input into accurate intent understanding across Stays, Experiences, and Services. Develop and productionize end-to-end ML models and pipelines for autocomplete, smart compose, query tagging (sequence tagging/NER), query expansion, and intent modeling—using modern NLP and large language models. Collaborate with software engineers, product managers, operations, and data scientists to prioritize requirements and measure impact at scale.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Work with large-scale structured and unstructured data to build and improve ML models focused on query understanding.
  • •Develop query understanding capabilities such as autocomplete, smart compose, query tagging (sequence tagging/NER), query expansion, and intent/user modeling.
  • •Collaborate with cross-functional partners to identify opportunities, refine requirements, and drive engineering decisions.
  • •Develop, productionize, and operate ML models and pipelines at scale, supporting both batch and real-time use cases.
  • •Leverage third-party and in-house ML tools and infrastructure to build reusable, high-performing systems with low-latency serving and reliable model quality upkeep.

Pay and Benefits

Salary: USD 200,000 - 235,000

Key Requirements

  • •5+ years of industry experience in applied Machine Learning, including an MS or PhD in a relevant field.
  • •Strong programming skills (Scala, Python, Java, C++, or equivalent) and data engineering experience.
  • •Deep understanding of ML best practices, algorithms (e.g., neural networks, optimization), and domains such as NLP, personalization, search/recommendation, and marketplace optimization.
  • •Experience with 3+ of TensorFlow, PyTorch, Kubernetes, Spark, Airflow, Kafka, and data warehouse tools such as Hive.
  • •Experience building end-to-end ML models and applying large language models and modern NLP (e.g., sequence tagging/NER, text generation, intent classification, embeddings).
Experience:5+ years
Education:Master's in relevant fields
Skills:Cross-functional collaborationRequirements prioritizationQuantifying impact
Tech Stack:ScalaPythonJavaC++TensorflowPyTorchKubernetesSparkAirflowKafkaHiveNLPLLMsNERSequence taggingFeature engineeringA/B test

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
WebsiteLinkedIn