airbnb, Inc. is hiring: Senior Staff Machine Learning Engineer – Guest & Host in
airbnb, Inc., San Francisco, CA, United States
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 Users, Listings, and Marketplaces team supports features across the application related to Guests, Hosts and Listings. These products include but are not limited to management tools for listings, enforcement/quality systems, and merchandising systems. The team works closely with product and design to ship highly visible product functionality and drive innovation within the product.
The Difference You Will Make:
There is huge potential for AI to how guests book and how Hosts manage listings at Airbnb. You will improve the Guest and Host experience by improving the intelligence of our product through state of the art machine learning models. This will involve close partnerships and influencing stakeholders across tech, product, and design organizations to identify, scope, and deliver AI features. While you will be leading efforts with XFN stakeholders supported by a team of engineers, you’ll also be working hand in hand with the team to prototype, evaluate, and implement models.
A Typical day:
Your contributions take a variety of shapes:
Leverage structured and unstructured data to build and continuously improve state of the art Machine Learning models for Airbnb product, business and operational use cases.
Work collaboratively with engineers, product managers, data scientists, and operations to identify problems and deploy ML capabilities.
Stay up to date with SoT models and prototype machine learning product features and iterate with product and design.
Drive best practices, develop playbooks, and create a repeatable process for shipping quality machine learning features.
Hands-on development, productionization, and maintenance of machine learning models and pipelines at scale.
Your Expertise:
Industry experience building and shipping end to end machine learning features
12+ years of industry experience in applied Machine Learning, with experience in both Natural Language Processing and Computer Vision
A Bachelor’s, Master’s or PhD in CS/ML or related field
Strong programming (Python / Java/ C++ or equivalent) skills with data and backend engineering expertise
Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection) and algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization)
Experience with technologies such as: Tensorflow, PyTorch, Kubernetes, Airflow (or equivalent), Kafka (or equivalent)
Expertise with architectural patterns of a 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.
#J-18808-Ljbffr
In Summary: There is huge potential for AI to how guests book and how Hosts manage listings at Airbnb . The Users, Listings, and Marketplaces team supports features across the application related to Guests, Hosts and Listings . The position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity .
En Español: Airbnb nació en 2007 cuando dos anfitriones dieron la bienvenida a tres huéspedes en su hogar de San Francisco, y desde entonces ha crecido hasta llegar a más de 5 millones de anfitrióños que han recibido más de 2 mil millones de llegadas de invitados en casi todos los países del mundo. Todos los días, los anfitrionos ofrecen estancias y experiencias únicas que permiten a los visitantes conectarse con las comunidades de una manera más auténtica. Mientras liderará los esfuerzos con las partes interesadas de XFN apoyados por un equipo de ingenieros, también trabajará mano a mano con el equipo para prototipar, evaluar e implementar modelos. Un día típico: Sus contribuciones toman una variedad de formas: Aprovechar datos estructurados y no estructurales para construir y mejorar continuamente el estado del arte Modelos de aprendizaje automático para productos Airbnb, negocios y casos de uso operacional. Trabajar en colaboración con ingenieros , gerentes de producto, científicos de datos y operaciones para identificar problemas y desplegar capacidades de ML. Mantenerse al día con los modelos SoT y características de prototipo de aprendizado automático e iterar con el producto y diseño. Conducir mejores prácticas, libros de juego y crear un proceso repetible para la navegación de calidad de las funciones de enseñanza automática. Desarrollo manual, habilidades de producción y mantenimiento de modelos de aprendizajes automáticos y pipelines de conocimientos especializados. Experiencia con tecnologías tales como: Tensorflow, PyTorch, Kubernetes, Airflow (o equivalente), Kafka (o equivalentes) experiencia con patrones arquitectónicos de aplicaciones de software grandes y a gran escala (por ejemplo, APIs bien diseñadas, tuberías de datos de alto volumen, algoritmos eficientes, modelos) Su ubicación: Esta posición es EE.UU.-Remote Eligible. El papel puede incluir trabajo ocasional en una oficina de Airbnb o asistencia a oficinas, según lo acordado con su gerente. Mientras que el puesto es Remote Eligible, usted debe vivir en un estado donde Airbnb, Inc. tiene una entidad registrada. Haga clic aquí para obtener la lista actualizada de estados elegibles. Si usted es un candidato con una discapacidad y requiere un alojamiento razonable para presentar la solicitud, póngase en contacto con nosotros a: reasonableaccommodations@airbnb.com . Incluya su nombre completo, el papel que está solicitando y el alojamento necesario para ayudarle con el proceso de contratación. Le pedimos que solo nos contacte si es un candidatos cuya discapacidad le impide completar nuestra aplicación en línea. Cómo lo cuidaremos: Nuestros títulos laborales pueden abarcar más de un nivel profesional. El salario básico real depende de muchos factores, como: formación, habilidades transferibles, experiencia laboral, necesidades empresariales y demandas del mercado.
The Community You Will Join:
The Users, Listings, and Marketplaces team supports features across the application related to Guests, Hosts and Listings. These products include but are not limited to management tools for listings, enforcement/quality systems, and merchandising systems. The team works closely with product and design to ship highly visible product functionality and drive innovation within the product.
The Difference You Will Make:
There is huge potential for AI to how guests book and how Hosts manage listings at Airbnb. You will improve the Guest and Host experience by improving the intelligence of our product through state of the art machine learning models. This will involve close partnerships and influencing stakeholders across tech, product, and design organizations to identify, scope, and deliver AI features. While you will be leading efforts with XFN stakeholders supported by a team of engineers, you’ll also be working hand in hand with the team to prototype, evaluate, and implement models.
A Typical day:
Your contributions take a variety of shapes:
Leverage structured and unstructured data to build and continuously improve state of the art Machine Learning models for Airbnb product, business and operational use cases.
Work collaboratively with engineers, product managers, data scientists, and operations to identify problems and deploy ML capabilities.
Stay up to date with SoT models and prototype machine learning product features and iterate with product and design.
Drive best practices, develop playbooks, and create a repeatable process for shipping quality machine learning features.
Hands-on development, productionization, and maintenance of machine learning models and pipelines at scale.
Your Expertise:
Industry experience building and shipping end to end machine learning features
12+ years of industry experience in applied Machine Learning, with experience in both Natural Language Processing and Computer Vision
A Bachelor’s, Master’s or PhD in CS/ML or related field
Strong programming (Python / Java/ C++ or equivalent) skills with data and backend engineering expertise
Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection) and algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization)
Experience with technologies such as: Tensorflow, PyTorch, Kubernetes, Airflow (or equivalent), Kafka (or equivalent)
Expertise with architectural patterns of a 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.
#J-18808-Ljbffr
In Summary: There is huge potential for AI to how guests book and how Hosts manage listings at Airbnb . The Users, Listings, and Marketplaces team supports features across the application related to Guests, Hosts and Listings . The position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity .
En Español: Airbnb nació en 2007 cuando dos anfitriones dieron la bienvenida a tres huéspedes en su hogar de San Francisco, y desde entonces ha crecido hasta llegar a más de 5 millones de anfitrióños que han recibido más de 2 mil millones de llegadas de invitados en casi todos los países del mundo. Todos los días, los anfitrionos ofrecen estancias y experiencias únicas que permiten a los visitantes conectarse con las comunidades de una manera más auténtica. Mientras liderará los esfuerzos con las partes interesadas de XFN apoyados por un equipo de ingenieros, también trabajará mano a mano con el equipo para prototipar, evaluar e implementar modelos. Un día típico: Sus contribuciones toman una variedad de formas: Aprovechar datos estructurados y no estructurales para construir y mejorar continuamente el estado del arte Modelos de aprendizaje automático para productos Airbnb, negocios y casos de uso operacional. Trabajar en colaboración con ingenieros , gerentes de producto, científicos de datos y operaciones para identificar problemas y desplegar capacidades de ML. Mantenerse al día con los modelos SoT y características de prototipo de aprendizado automático e iterar con el producto y diseño. Conducir mejores prácticas, libros de juego y crear un proceso repetible para la navegación de calidad de las funciones de enseñanza automática. Desarrollo manual, habilidades de producción y mantenimiento de modelos de aprendizajes automáticos y pipelines de conocimientos especializados. Experiencia con tecnologías tales como: Tensorflow, PyTorch, Kubernetes, Airflow (o equivalente), Kafka (o equivalentes) experiencia con patrones arquitectónicos de aplicaciones de software grandes y a gran escala (por ejemplo, APIs bien diseñadas, tuberías de datos de alto volumen, algoritmos eficientes, modelos) Su ubicación: Esta posición es EE.UU.-Remote Eligible. El papel puede incluir trabajo ocasional en una oficina de Airbnb o asistencia a oficinas, según lo acordado con su gerente. Mientras que el puesto es Remote Eligible, usted debe vivir en un estado donde Airbnb, Inc. tiene una entidad registrada. Haga clic aquí para obtener la lista actualizada de estados elegibles. Si usted es un candidato con una discapacidad y requiere un alojamiento razonable para presentar la solicitud, póngase en contacto con nosotros a: reasonableaccommodations@airbnb.com . Incluya su nombre completo, el papel que está solicitando y el alojamento necesario para ayudarle con el proceso de contratación. Le pedimos que solo nos contacte si es un candidatos cuya discapacidad le impide completar nuestra aplicación en línea. Cómo lo cuidaremos: Nuestros títulos laborales pueden abarcar más de un nivel profesional. El salario básico real depende de muchos factores, como: formación, habilidades transferibles, experiencia laboral, necesidades empresariales y demandas del mercado.