Staff Machine Learning Engineer, Listings and Host Tools Data and AI - Careers

Airbnb

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $204,000–$255,000 / yr
Posted: 1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k

This role $230k

$159k most similar roles pay here $265k

This role pays more than 70% of similar roles. Most pay $169,350–$238,312 — the shaded band above. At the midpoint, this role pays about $230k versus about $204k 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 75 open roles on FindRole.

Listed pay typically runs $204,000–$255,000 across 45 roles with salary data.

Most-posted roles

View all roles at Airbnb

At a glance

TL;DR · Staff Machine Learning Engineer, Listings and Host Tools Data and AI - Careers

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As an ML engineer on the Listings and Host Tools Data and AI (DnA) team at Airbnb, you will work closely with data scientists, product managers, and other engineers to enhance host and guest experiences through advanced machine learning solutions. Your daily tasks include building and refining cutting-edge ML models for various use cases, collaborating with cross-functional teams to identify business opportunities, and developing scalable services and APIs to serve these models in real-time or batch processing environments. You will need at least 8 years of industry experience in applied machine learning, proficiency in Scala, Python, Java, C++, and a deep understanding of ML best practices and algorithms such as gradient boosting trees, neural networks, and state-of-the-art NLP techniques. Familiarity with technologies like TensorFlow, PyTorch, Kubernetes, Spark, and Airflow is essential for building end-to-end ML infrastructure at scale.

Skills

Python Scala Java Tensorflow PyTorch Kubernetes Spark Airflow Hive API design Data pipelines A/B testing CI/CD NLP CV Gradient boosted trees Deep learning Feature engineering Test driven development Incremental delivery

What you'll do

Build and continuously improve cutting-edge ML models for Airbnb's product use cases.
Identify business opportunities by collaborating with cross-functional teams to refine requirements.
Develop and productionize machine learning pipelines at scale, including both batch and real-time applications.
Design services and APIs to serve ML model-driven data to enhance product experiences.
Prototype ML use cases in collaboration with stakeholders to iterate on requirements.
Integrate ML models into product use cases by building end-to-end infrastructure.

What we're looking for

8+ years of industry experience in applied Machine Learning.
Strong programming skills in Scala, Python, Java, or C++ and data engineering expertise.
Deep understanding of ML best practices, algorithms, and domains like NLP and CV.
Experience with technologies such as TensorFlow, PyTorch, Kubernetes, Spark, Airflow.
Proven ability to build end-to-end ML infrastructure and productionize models.
Familiarity with architectural patterns for high-scale software applications.

Machine Learning Engineer, Community Support Engineering - Careers

Airbnb

China 1 day ago

Python TensorFlow PyTorch Kubernetes Docker AWS CI/CD PostgreSQL LLM Chatbot Agentic AI RAG/Search MLOps Prometheus Grafana

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