Senior Machine Learning Engineer, Guest & Host

A global platform connecting hosts offering unique stays with guests, founded in 2007 in San Francisco
$191,000 - $223,000
Machine Learning
Senior Software Engineer
Remote
5,000+ Employees
5+ years of experience
AI

Description For Senior Machine Learning Engineer, Guest & Host

Airbnb, founded in 2007, is seeking a Senior Machine Learning Engineer to join their Host and Guest team. This role focuses on building world-class ML-driven intelligence platforms that power high-quality listings and improve host merchandising. The position offers a unique opportunity to drive technical vision and architect ML systems serving millions of listings.

As a technical leader, you'll be responsible for the complete lifecycle of problem-solving, from prototyping to leading talented engineers through multiple releases. The role involves working with cross-functional teams, including Search, Listings, and Communication teams, to build and implement ML models that enhance user experience and drive organic bookings.

The ideal candidate should have extensive experience in applied Machine Learning, strong programming skills, and deep understanding of ML best practices. You'll work with cutting-edge technologies like Tensorflow, PyTorch, Kubernetes, and Kafka, while building end-to-end Machine Learning infrastructure.

This US-remote position offers competitive compensation ($191,000 - $223,000) and the opportunity to work with a diverse, inclusive team. Airbnb's platform, which has facilitated over 2 billion guest arrivals globally, provides a unique environment for implementing ML solutions at scale, making this an exciting opportunity for experienced ML engineers looking to make a significant impact.

Last updated 2 hours ago

Responsibilities For Senior Machine Learning Engineer, Guest & Host

  • Provide critical input and influence technical direction
  • Influence and collaborate with stakeholders to adopt team goals and roadmaps
  • Work with cross functional partners to design and deliver high-quality systems
  • Design and implement ML models to drive organic bookings and improve user experience
  • Lead efforts to architect, prototype, build and launch solutions for host or listing success
  • Mentor engineers on day to day basis

Requirements For Senior Machine Learning Engineer, Guest & Host

Python
Java
Kubernetes
Kafka
  • 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
  • Strong programming (Python/Java) and data engineering skills
  • Deep understanding of Machine Learning best practices
  • Experience with technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow, Kafka
  • Industry experience building end-to-end Machine Learning infrastructure
  • Exposure to architectural patterns of large, high-scale software applications
  • Prior knowledge of ML Applications in ranking, recommendation or personalization domain is highly desirable

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