9 days ago

Staff Machine Learning Engineer, Community Support Engineering

Airbnb

Hybrid
Full Time
$230,000
Hybrid

Job Overview

Job TitleStaff Machine Learning Engineer, Community Support Engineering
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$230,000
LocationHybrid

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Job Description

About Airbnb

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join

Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb.

The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting Generative AI technologies to enable an intelligent, scalable, and exceptional service experience. The team develops and enhances various AI models, ML services, and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning, and guardrail for a wide range of applications in Airbnb.

The richness of Airbnb's data, the complexity of its marketplace, and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long-term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.

The Difference You Will Make

We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and Host on Airbnb.

You will build and leverage cutting-edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use, and proactive customer service experience.

Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities.

A Typical Day as a Staff Machine Learning Engineer, Community Support Engineering

  • Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.
  • Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products.
  • Learn and share the latest AI/ML technologies with the team.

Your Expertise

  • PhD/Master’s degree, preferably in CS, or equivalent experience.
  • 6/9+ years of ML engineering experience, with ownership responsibility over large-scale software systems.
  • Background in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products.
  • Experience with LLM driven chatbot and Agentic AI products would be a big plus.
  • Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations.

Your Location

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.

Key skills/competency

  • Machine Learning Engineering
  • Artificial Intelligence
  • Generative AI
  • LLM Fine-tuning
  • RAG/Search
  • Scalable ML Systems
  • AI Product Development
  • Customer Service AI
  • Cross-functional Collaboration
  • Large-scale Software Systems

Tags:

Staff Machine Learning Engineer
ML Engineering
Artificial Intelligence
Generative AI
LLM
RAG
Scalable Systems
AI Models
Product Integration
Customer Support
Python
PyTorch
TensorFlow
Spark
Kubernetes
AWS
GCP
MLOps
Data Science
Distributed Systems

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How to Get Hired at Airbnb

  • Research Airbnb's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Customize your resume: Highlight your extensive ML engineering, Generative AI, and large-scale systems experience.
  • Showcase AI/ML projects: Detail your contributions to impactful projects, especially those involving LLMs or customer service enhancements.
  • Prepare for technical deep dives: Focus on system design for scalable ML products, LLM fine-tuning, RAG, and AI model evaluation.
  • Demonstrate cross-functional skills: Provide examples of successful collaboration with product, design, and other engineering teams.

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