Senior Machine Learning Engineer, Query Intelligence

Airbnb

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$200,000–$235,000 / yr
Posted
57 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $226k
This role $218k
$173k most similar roles pay here $289k

This role pays less than 59% of similar roles. Most pay $197,631–$254,750 — the shaded band above. At the midpoint, this role pays about $218k versus about $226k for comparable roles.

Based on 240 similar postings.

Employer

About Airbnb

Founded in 2008 and formerly known as AirBed & Breakfast, Inc., Airbnb is a global marketplace connecting travelers with hosts who offer unique accommodations, ranging from private rooms to entire homes. It operates a massive digital platform for booking stays, experiences, and travel services worldwide.

Airbnb currently has 65 open roles on FindRole.

Listed pay typically runs $200,000–$240,000 across 51 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer, Query Intelligence

Senior Machine Learning Engineer, Query Intelligence joins the Relevance and Personalization team to build critical query intelligence features for search across the platform. You will develop models that parse free-form multimodal queries, extract entities, classify intent, and power autocomplete, smart compose, and query expansion. The role involves building and productionizing machine learning pipelines for both batch and real-time use cases while collaborating with cross-functional partners to improve search results. You will work with large-scale structured and unstructured data using technologies such as Python, Scala, Java, or C++, alongside tools like TensorFlow, PyTorch, Kubernetes, Spark, Airflow, Kafka, and Hive. Key technical focuses include natural language processing, large language models, sequence tagging, and embedding learning to solve complex search and recommendation problems within a high-scale marketplace environment.

What does a Machine Learning Engineer earn in Remote?

Median $229700 from 72 postings across 27 companies.

See salary data

What you'll do

  • Develop machine learning models to parse free-form and natural-language multimodal queries for search.
  • Build query understanding features including autocomplete, smart compose, query tagging, and expansion.
  • Model user intent across Stays, Experiences, and Services using modern NLP and LLMs.
  • Develop and productionize high-scale machine learning pipelines for both batch and real-time use cases.
  • Extract entities and location context from diverse structured and unstructured data sources.
  • Implement advanced techniques like sequence tagging, text generation, and embedding representation learning.
  • Optimize model serving efficiency and ensure low-latency performance across the search ranking stack.
  • Translate business requirements into technical specifications for machine learning models and infrastructure.

What we're looking for

  • Must have 5+ years of industry experience in applied Machine Learning.
  • Must possess an MS or PhD in a relevant field.
  • Strong programming skills in Scala, Python, Java, C++, or equivalent.
  • Deep understanding of ML best practices, algorithms (neural networks/deep learning), and domains like NLP and search.
  • Experience with at least three technologies including TensorFlow, PyTorch, Kubernetes, Spark, Airflow, Kafka, or Hive.
  • Proven experience building end-to-end Machine Learning models for production use cases.
  • Experience applying large language models and modern NLP techniques such as NER, text generation, and intent classification.
  • Familiarity with high-scale software architecture, including well-designed APIs and high-volume data pipelines.

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