Role at a glance
- Salary
- $191K – $225K/yr
- Location
- United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of industry experience in applied Machine Learning
- Education
- inclusive MS or PhD in relevant fields
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Role Summary
The Relevance and Personalization team develops search and recommendation systems across Airbnb’s digital platform. This role focuses on end-to-end ranking algorithms and Machine Learning infrastructure that support product, business, and operational use cases across structured and unstructured data.
What You'll Do
- Build and continuously improve Machine Learning models for Airbnb use cases
- Collaborate with software engineers, product managers, operations, and data scientists to identify opportunities and refine requirements
- Develop, productionize, and operate Machine Learning models and pipelines for batch and real-time use cases
- Use Machine Learning tools and infrastructure to support model development and low-latency serving
- Work on projects such as feature platforms, model interpretability, hyperparameter optimization, and concept drift detection
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills; deep understanding of Machine Learning best practices, algorithms, and domains; experience with 3 or more of Tensorflow, PyTorch, Kubernetes, Spark, Airflow, Kafka, or data warehouse technologies; industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models; exposure to architectural patterns of large, high-scale software applications; experience with test driven development and A/B testing.
Required
- Strong programming in Scala, Python, Java, C++, or equivalent
- Data engineering skills
- Machine Learning best practices, including training/serving skew minimization, A/B testing, feature engineering, and feature/model selection
- Machine Learning algorithms, including neural networks/deep learning and optimization
- Machine Learning domains including natural language processing, computer vision, personalization, search and recommendation, and...
- Experience with 3 or more of Tensorflow, PyTorch, Kubernetes, Spark, Airflow or equivalent, Kafka or equivalent, and data warehouse...
- Building end-to-end Machine Learning infrastructure
- Building and productionizing Machine Learning models
Preferred
- Applying large language models and modern NLP
- Building natural-language, AI-native search experiences
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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: [email protected]. 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.
About the company
Airbnb
Large Enterprise
Airbnb is a leading online marketplace that connects travelers with hosts offering unique accommodations around the world. Founded in 2008, the platform has revolutionized the hospitality industry by enabling homeowners to rent out their spaces, ranging from spare rooms to entire homes, to guests seeking a more personalized and local travel experience. With a commitment to community and diversity, Airbnb provides an extensive array of listings while maintaining a focus on safety and trust for both hosts and guests. The company also offers various experiences and services, enhancing the overall travel journey for users across the globe.
Airbnb is a leading online marketplace that connects travelers with hosts offering unique accommodations around the world. Founded in 2008, the platform has revolutionized the hospitality industry by enabling homeowners to rent out their spaces, ranging from spare rooms to entire homes, to guests seeking a more personalized and local travel experience. With a commitment to community and diversity, Airbnb provides an extensive array of listings while maintaining a focus on safety and trust for both hosts and guests. The company also offers various experiences and services, enhancing the overall travel journey for users across the globe.