United States•Publicerad: 9 juli•Sista ansökan: 17 aug.
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:
The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital
platform. Be a leader in the team working on critical, impactful projects with focus on developing end-to-end ranking algorithms
and ecosystems for optimizing multiple critical business objectives.
The Difference You Will Make:
We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model
innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (structured, sequential,
image, text, etc) at Airbnb. We collaborate closely with teams across Airbnb to develop the ranking solutions and support a
healthy marketplace for hosts and guests to further Airbnb’s mission of creating a world where people can Belong Anywhere. Some
past publications from the team can be found here: https://sites.google.com/view/airbnb-relevance-publications/home
A Typical Day:
* Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for
Airbnb product, business and operational use cases.
* Work collaboratively with cross-functional partners including software engineers, product managers, operations and data
scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning
models, drive engineering decisions, and quantify impact.
* 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.
* Example projects include: feature platform, model interpretability, hyperparameter optimization, concept drift detection.
Your Expertise:
* 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
* Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills
* Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering,
feature/model selection), algorithms (eg. neural networks/deep learning, optimization) and domains (eg. natural language
processing, computer vision, personalization, search and recommendation, marketplace optimization)
* Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or
equivalent), data warehouse (eg. Hive)
* Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning
models
* Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data
pipelines, efficient algorithms, models)
* Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.
* Experience applying large language models and modern NLP is a plus, e.g. for sequence tagging, text generation, intent
classification, or representation learning.
* Familiarity with building natural-language, AI-native search experiences is a plus, e.g. autocomplete/smart compose, query
understanding, or user-intent modeling.
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. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if
the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform
you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement,
and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals
are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and
require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com.
Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting
process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online
application.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training,
transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be
modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
$191,000—$225,000 USD
United States•Publicerad: 15 juli•Sista ansökan: 17 aug.
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:
The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital
platform. In this role you'll focus on query intelligence, the front door of search working on critical, impactful projects that
turn what a guest types, taps, or says into a precise understanding of their intent, spanning autocomplete and smart compose,
query tagging, query expansion, and intent modeling across Stays, Experiences, and Services.
The Difference You Will Make:
Query understanding is where every search begins, and it directly shapes retrieval, ranking, and ultimately the perfect match
between guests and hosts. We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data
pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of
data (structured, sequential, image, text, etc) and increasingly large language models at Airbnb. You'll build the models that
parse free-form and natural-language multimodal queries, extract entities and location context, classify intent, and anticipate
what guests want before they finish typing. We collaborate closely with teams across Airbnb to develop the ranking solutions and
support a healthy marketplace for hosts and guests to further Airbnb's mission of creating a world where people can Belong
Anywhere. Some past publications from the team can be found here: https://sites.google.com/view/airbnb-relevance-publications/home
A Typical Day:
* Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for
Airbnb product, business and operational use cases, with a focus on query understanding.
* Develop query understanding capabilities — autocomplete and smart compose, query tagging (sequence tagging / NER), query
expansion, and query/user intent modeling — and natural-language ("search in your own words") search experiences powered by
modern NLP and LLMs.
* Work collaboratively with cross-functional partners including software engineers, product managers, operations and data
scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning
models, drive engineering decisions, and quantify impact.
* 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.
* Example projects include: smart compose and language generation for search, LLM-based sequence taggers, LLM-driven
query/location expansion, intent classification, and user-intent sequence modeling.
Your Expertise:
* 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields.
* Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.
* Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering,
feature/model selection), algorithms (eg. neural networks/deep learning, optimization) and domains (eg. natural language
processing, personalization, search and recommendation, marketplace optimization).
* Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or
equivalent), data warehouse (eg. Hive).
* Industry experience building end-to-end Machine Learning models.
* Experience applying large language models and modern NLP — e.g., sequence tagging/NER, text generation, intent classification,
or embedding/representation learning.
* Familiarity with building natural-language, AI-native and agentic search experiences is a plus.
* Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data
pipelines, efficient algorithms, models).
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. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if
the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform
you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement,
and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals
are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and
require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com.
Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting
process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online
application.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training,
transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be
modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
$200,000—$235,000 USD
United States•Publicerad: 22 apr.•Sista ansökan: 17 aug.
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:
AI and ML 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 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 AI models,
ML services, and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation,
feedback-based learning, and guardrails for a wide range of applications at 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 long-term innovation to solve complex problems, and to do that
we need experienced ML
The Difference You Will Make:
In this Senior Staff role, you will set technical direction and lead execution for ML evaluation and the end-to-end data flywheel
powering CSxAI products (e.g., assistive agents, issue resolution, and tooling). Your work will define how we measure quality, how
we turn feedback into learning signals, and how we continuously improve models and products safely and efficiently. You will
partner closely with product, engineering, design, operations to build evaluation systems that are trusted, scalable, and
actionable - connecting offline metrics to online outcomes.
A Typical Day:
* Define evaluation strategy and success metrics for GenAI systems, aligning offline evaluation with online business and customer
experience outcomes.
* Build and scale evaluation frameworks (golden sets, synthetic data, automated regressions, rubric-based grading, LLM-as-judge
where appropriate) with strong controls for bias, drift, and reliability.
* Design the data flywheel: instrumentation, feedback collection, data quality checks, labeling strategy, dataset versioning, and
governance to support continuous improvement.
* Lead cross-functional quality initiatives across product, ops, and engineering, driving clarity on what “good” looks like and
how teams act on evaluation results.
* Develop and productionize pipelines for dataset creation, model monitoring, evaluation-at-scale, and continuous testing
(pre-deploy and post-deploy).
* Drive technical decisions and architecture for evaluation and data infrastructure, balancing speed, rigor, cost, and safety.
Minimum Qualifications:
* Educational Background: PhD in Computer Science, Mathematics, Statistics, or related technical field (or equivalent practical
experience).
* Industry Experience: 10+ years building, testing, and shipping ML/AI systems end-to-end; including 2+ years of experience with
GenAI/LLM systems in production.
* Leadership Experience: 5+ years leading large, ambiguous technical initiatives as a senior IC, influencing roadmap and
engineering/science direction across teams.
* Technical Proficiency:
* Deep expertise in evaluation methodology (offline/online alignment, metric design, human-in-the-loop evaluation, A/B testing,
power analysis, regression testing).
* Hands-on experience with GenAI systems, including orchestration, retrieval, tool calling, memory, etc.
* Experience building data pipelines and quality systems (labeling workflows, dataset curation, versioning, monitoring, and
governance).
* Solid ML fundamentals and best practices (model selection, training/serving, monitoring, reliability, and model lifecycle
management).
Preferred Qualifications:
* Customer Support Systems: Experience applying ML/AI to customer support workflows (e.g., agent assist, classification/routing,
resolution recommendation, QA).
* Infrastructure & Quality at Scale: Experience building robust evaluation platforms for agent behavior validation,
safety/guardrails, and continuous improvement.
* Agile Practice for Applied AI: Proven ability to take evaluation and data flywheel work from incubation to production,
iterating quickly while maintaining scientific rigor.
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. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if
the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform
you what states you are eligible to work from.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training,
transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be
modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
$244,000—$305,000 USD
