Resume and JobRESUME AND JOB
Airbnb logo

Senior Staff Machine Learning Engineer, Community Support Engineering

Airbnb

Senior Staff Machine Learning Engineer, Community Support Engineering

Airbnb logo

Airbnb

full-time

Posted: November 11, 2025

Number of Vacancies: 1

Job Description

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 Core ML team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the 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: As a machine learning engineer or scientist, your expertise will be pivotal in developing AI-powered products to shape the future of the Airbnb customer experience with cutting-edge AI techniques. You will drive and guide the applied science team to apply agile practice for data science, and partner with product managers, software engineers, and operation teams to brainstorm, design and develop AI products and features from inception to production.

A Typical Day

  • Work with large scale structured and unstructured data; explore, experiment, build and continuously improve Machine Learning models and pipelines for Airbnb product, business and operational use cases.
  • Work collaboratively with cross-functional partners including product managers, operations and data scientists, to identify opportunities for business impact; understand, refine, and prioritize requirements for machine learning, and drive engineering decisions.
  • Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
  • Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.

Your Expertise

  • PhD in Computer Science, Mathematics, Statistics, or related technical field.
  • 10+ years of experience in building, testing and shipping AI models and products from inception to production; including 2+ years of experience with GenAI.
  • 5+ years experience leading and guiding applied science/ machine learning teams that deliver large impact as a senior IC.
  • Experience with AI technologies in customer support applications.
  • Experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain.
  • Experience building robust testing frameworks for agent behavior validation and continuous improvement, and driving architectural requirements on ML infrastructures.
  • Ability to absorb new concepts quickly and integrate them effectively into business processes.

Benefits

  • Bonus
  • Equity
  • Benefits
  • Employee Travel Credits

How We'll Take Care of You

$244,000—$305,000 USD

Locations

  • United States,

Salary

244,000 - 305,000 USD / yearly

Estimated Salary Rangehigh confidence

244,000 - 305,000 USD / yearly

Source: xAI estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Deep knowledge and hands-on experience with Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection)intermediate
  • Algorithms (eg. neural networks/deep learning, optimization)intermediate
  • Domains (eg. NLP, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection)intermediate

Required Qualifications

  • PhD in Computer Science, Mathematics, Statistics, or related technical field. (experience)
  • 10+ years of experience in building, testing and shipping AI models and products from inception to production; including 2+ years of experience with GenAI. (experience)
  • 5+ years experience leading and guiding applied science/ machine learning teams that deliver large impact as a senior IC. (experience)
  • Experience with AI technologies in customer support applications. (experience)
  • Experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain. (experience)
  • Experience building robust testing frameworks for agent behavior validation and continuous improvement, and driving architectural requirements on ML infrastructures. (experience)
  • Ability to absorb new concepts quickly and integrate them effectively into business processes. (experience)

Responsibilities

  • Work with large scale structured and unstructured data; explore, experiment, build and continuously improve Machine Learning models and pipelines for Airbnb product, business and operational use cases.
  • Work collaboratively with cross-functional partners including product managers, operations and data scientists, to identify opportunities for business impact; understand, refine, and prioritize requirements for machine learning, and drive engineering decisions.
  • Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
  • Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.

Benefits

  • general: Bonus
  • general: Equity
  • general: Benefits
  • general: Employee Travel Credits

Target Your Resume for "Senior Staff Machine Learning Engineer, Community Support Engineering" , Airbnb

Get personalized recommendations to optimize your resume specifically for Senior Staff Machine Learning Engineer, Community Support Engineering. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Staff Machine Learning Engineer, Community Support Engineering" , Airbnb

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Customer SupportQuality AssuranceHospitalityOperations

Related Jobs You May Like

No related jobs found at the moment.

Airbnb logo

Senior Staff Machine Learning Engineer, Community Support Engineering

Airbnb

Senior Staff Machine Learning Engineer, Community Support Engineering

Airbnb logo

Airbnb

full-time

Posted: November 11, 2025

Number of Vacancies: 1

Job Description

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 Core ML team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the 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: As a machine learning engineer or scientist, your expertise will be pivotal in developing AI-powered products to shape the future of the Airbnb customer experience with cutting-edge AI techniques. You will drive and guide the applied science team to apply agile practice for data science, and partner with product managers, software engineers, and operation teams to brainstorm, design and develop AI products and features from inception to production.

A Typical Day

  • Work with large scale structured and unstructured data; explore, experiment, build and continuously improve Machine Learning models and pipelines for Airbnb product, business and operational use cases.
  • Work collaboratively with cross-functional partners including product managers, operations and data scientists, to identify opportunities for business impact; understand, refine, and prioritize requirements for machine learning, and drive engineering decisions.
  • Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
  • Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.

Your Expertise

  • PhD in Computer Science, Mathematics, Statistics, or related technical field.
  • 10+ years of experience in building, testing and shipping AI models and products from inception to production; including 2+ years of experience with GenAI.
  • 5+ years experience leading and guiding applied science/ machine learning teams that deliver large impact as a senior IC.
  • Experience with AI technologies in customer support applications.
  • Experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain.
  • Experience building robust testing frameworks for agent behavior validation and continuous improvement, and driving architectural requirements on ML infrastructures.
  • Ability to absorb new concepts quickly and integrate them effectively into business processes.

Benefits

  • Bonus
  • Equity
  • Benefits
  • Employee Travel Credits

How We'll Take Care of You

$244,000—$305,000 USD

Locations

  • United States,

Salary

244,000 - 305,000 USD / yearly

Estimated Salary Rangehigh confidence

244,000 - 305,000 USD / yearly

Source: xAI estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Deep knowledge and hands-on experience with Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection)intermediate
  • Algorithms (eg. neural networks/deep learning, optimization)intermediate
  • Domains (eg. NLP, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection)intermediate

Required Qualifications

  • PhD in Computer Science, Mathematics, Statistics, or related technical field. (experience)
  • 10+ years of experience in building, testing and shipping AI models and products from inception to production; including 2+ years of experience with GenAI. (experience)
  • 5+ years experience leading and guiding applied science/ machine learning teams that deliver large impact as a senior IC. (experience)
  • Experience with AI technologies in customer support applications. (experience)
  • Experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain. (experience)
  • Experience building robust testing frameworks for agent behavior validation and continuous improvement, and driving architectural requirements on ML infrastructures. (experience)
  • Ability to absorb new concepts quickly and integrate them effectively into business processes. (experience)

Responsibilities

  • Work with large scale structured and unstructured data; explore, experiment, build and continuously improve Machine Learning models and pipelines for Airbnb product, business and operational use cases.
  • Work collaboratively with cross-functional partners including product managers, operations and data scientists, to identify opportunities for business impact; understand, refine, and prioritize requirements for machine learning, and drive engineering decisions.
  • Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
  • Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.

Benefits

  • general: Bonus
  • general: Equity
  • general: Benefits
  • general: Employee Travel Credits

Target Your Resume for "Senior Staff Machine Learning Engineer, Community Support Engineering" , Airbnb

Get personalized recommendations to optimize your resume specifically for Senior Staff Machine Learning Engineer, Community Support Engineering. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Staff Machine Learning Engineer, Community Support Engineering" , Airbnb

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Customer SupportQuality AssuranceHospitalityOperations

Related Jobs You May Like

No related jobs found at the moment.