Senior Machine Learning Engineer, Supply & Competitive Intelligence - Careers

Airbnb

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$196,000–$227,000 / yr
Posted
today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $216k
This role $212k
$175k most similar roles pay here $264k

This role pays less than 53% of similar roles. Most pay $184,688–$247,500 — the shaded band above. At the midpoint, this role pays about $212k versus about $216k 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 80 open roles on FindRole.

Listed pay typically runs $204,000–$255,000 across 49 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer, Supply & Competitive Intelligence - Careers

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As a senior machine learning engineer on the Supply & Competitive Intelligence team within Airbnb’s Marketplaces Data and AI group, you will lead the development of crawling infrastructure to provide real-time insights into global travel market dynamics. Your daily tasks include designing and deploying ML models that extract competitive intelligence signals from large datasets, building resilient end-to-end pipelines for feature engineering and model serving, and collaborating with cross-functional teams to translate data needs into actionable business strategies. You will need 5–10 years of experience in applied machine learning, proficiency in Python and additional backend languages like Scala or Java, expertise in ML frameworks such as TensorFlow or PyTorch, and a strong background in feature engineering and model deployment at scale. Your work will significantly impact Airbnb’s competitive strategy by informing pricing and supply growth decisions for millions of users globally.

Skills

Python TensorFlow PyTorch Scala Java Kubernetes Docker CI/CD PostgreSQL AWS Snowflake Apache Spark Airflow Redis GraphQL RESTful APIs ELK Stack Prometheus Grafana

What you'll do

  • Design and deploy ML models to extract competitive intelligence signals from global datasets.
  • Build and maintain end-to-end ML pipelines for feature engineering and low-latency online serving.
  • Apply entity resolution techniques using advanced algorithms like embedding models and transformers.
  • Collaborate with teams to translate competitive intelligence needs into measurable success criteria.
  • Conduct rigorous offline and online experiments to evaluate model quality and inform business decisions.

What we're looking for

  • 5-10 years of professional experience in applied Machine Learning with production deployment at global scale.
  • Proficient in Python and additional backend languages like Scala or Java for robust system building.
  • Mastery of ML fundamentals, feature engineering, model selection, A/B testing, and training/serving skew mitigation.
  • Hands-on expertise with modern ML frameworks such as TensorFlow or PyTorch for innovative model development.
  • Experience leading data engineering efforts to build scalable end-to-end ML pipelines.
  • Strong command of high-scale software architecture patterns including API design and resilient infrastructure.

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