Nerdleveltech is hiring: Senior Machine Learning Engineer, Payments in San Franc
Nerdleveltech, 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.
Community You Will Join
Payments is key for any healthy marketplace, and is just as central to our product at Airbnb. The Payments org at Airbnb is responsible for everything related to settling money in Airbnb’s global marketplace and makes the Payment experience as delightful, magical, intuitive, and easy as possible. At the Payments modeling team, our goal is to empower the mission by introducing intelligences and personalizations that optimize Airbnb’s massive daily transaction volume to best collect payments from guests, distribute payouts to hosts while preventing fraudulent transactions from happening.
Difference You Will Make
As a Senior ML Engineer for Payments, you will be the catalyst that transforms bold AI innovation – LLM‑powered workflow, realtime fraud defenses, and hyper‑personalized checkout flows – into production systems that make Airbnb Payment experience feel effortless and secure; you’ll architect and own end‑to‑end solutions at global scale, partner closely with product, software, and operations teams to turn complex requirements into elegant, latency‑first services, and set the technical standard for model governance, continuous learning, and engineering excellence that elevates our entire payments ecosystem while shaping the company’s broader AI strategy.
A Typical Day
Spearhead LLM agents, realtime anomaly detectors, and other breakthrough solutions that solve real‑world problems and create product magic.
Collaborate with product, engineering, ops, and data science to spot high lever opportunities, refine AI/ML requirements, make principled architecture choices, and measure business value with clear, data‑driven metrics.
Design, train, deploy, and operate large‑scale AI applications for both batch and streaming workloads, ensuring low latency, high reliability, and continuous improvement via automated monitoring and retraining loops.
Mentor and inspire teammates, fostering a collaborative, experimentation‑driven environment where cutting‑edge research meets production excellence and every engineer is empowered to push AI boundaries at Airbnb.
Your Expertise
5+ years of industry experience in applied AI/ML, inclusive MS or PhD in relevant fields.
Strong programming (Python/Java) and data engineering skills.
Proven mastery of modern AI/LLM workflows – prompt engineering, fine tuning (LoRA, RLHF), hallucination mitigation, safety guardrails, and rigorous online/offline testing to minimize training/inference drift and ensure reliable outcomes.
Hands‑on experience with at least three of the following: PyTorch/TensorFlow, scalable inference stacks, vector search, orchestration/MLOps platforms (Kubeflow, Airflow), large‑scale data streaming & processing (Spark, Ray, Kafka)
Demonstrated success designing, deploying, and monitoring production AI systems – e.g. personalization engines, generative content services – complete with drift/cost/latency monitoring, automated retraining triggers, and cross‑functional collaboration that translates ambiguous business needs into measurable AI impact.
Prior knowledge of AI/ML Applications in the Payments domain is highly desirable.
Your Location
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at off‑sites, 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 — $223,000 USD
#J-18808-Ljbffr
In Summary: Payments is responsible for everything related to settling money in Airbnb’s global marketplace and makes the Payment experience as delightful, magical, intuitive, and easy as possible . As a Senior ML Engineer for Payments, you will be the catalyst that transforms bold AI innovation into production systems that make Airbnb Payment experience feel effortless and secure .
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 ser 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. En el equipo de modelado de pagos, nuestro objetivo es potenciar la misión mediante la introducción de inteligencias y personalizaciones que optimicen el volumen masivo de transacciones diarias de Airbnb para recoger mejor los pagos de los huéspedes, distribuir pagos a los anfitriones mientras evita que ocurran las transacciones fraudulentas. Diferencia Usted hará Como ingeniero senior de ML for Payments, usted será el catalizador que transforma la innovación en IA atrevido flujo de trabajo impulsado por LLM, defensas contra fraudes en tiempo real y flujos de checkout hiperpersonalizados en sistemas de producción que hacen que la experiencia de Airbnb Payment se sienta sin problemas y segura; desarrollará soluciones finales a escala global, colaborará estrechamente con equipos de pruebas de software y operaciones para convertir los requisitos complejos en servicios de latencia-latencia, y establecerá las habilidades de gestión de datos modernos, la mejora del sistema operativo de información e ingeniería automática (MAG), así como la aplicación de tecnologías avanzadas de tecnología AI/AML® y otras aplicaciones de alta calidad, al mismo tiempo que promueve un esfuerzo técnico y una amplia capacitación tecnológica de cada vez más rigurosa. El puesto puede incluir trabajo ocasional en una oficina de Airbnb o asistencia a sitios externos, según lo acordado con su gerente. Mientras que el puesto es Remote Eligible, debe vivir en un estado donde Airbnb, Inc. tiene una entidad registrada. Haga clic aquí para obtener la lista actualizada de estados discapacitados. Esta lista está evolucionando continuamente, así que por favor vuelva a consultar con nosotros si el estado en el que vive está en la lista de exclusión. Si su posición se encuentra entrevistada por otra entidad empleada, nos invitará a presentarle una solicitud de reclutamiento y le permitirá desarrollar soluciones razonables e integrar las más diversas personas cualificadas. Por favor, incluya su nombre completo, el papel que está solicitando y el alojamiento necesario para ayudarle con el proceso de contratación. Le pedimos que solo nos contacte si es un candidato cuya discapacidad le impide completar nuestra solicitud en línea. Cómo cuidamos de usted Nuestros títulos de trabajo pueden abarcar más de un nivel profesional. El salario básico real depende de muchos factores, como: capacitación, habilidades transferibles, experiencia laboral, necesidades empresariales y demandas del mercado.
Community You Will Join
Payments is key for any healthy marketplace, and is just as central to our product at Airbnb. The Payments org at Airbnb is responsible for everything related to settling money in Airbnb’s global marketplace and makes the Payment experience as delightful, magical, intuitive, and easy as possible. At the Payments modeling team, our goal is to empower the mission by introducing intelligences and personalizations that optimize Airbnb’s massive daily transaction volume to best collect payments from guests, distribute payouts to hosts while preventing fraudulent transactions from happening.
Difference You Will Make
As a Senior ML Engineer for Payments, you will be the catalyst that transforms bold AI innovation – LLM‑powered workflow, realtime fraud defenses, and hyper‑personalized checkout flows – into production systems that make Airbnb Payment experience feel effortless and secure; you’ll architect and own end‑to‑end solutions at global scale, partner closely with product, software, and operations teams to turn complex requirements into elegant, latency‑first services, and set the technical standard for model governance, continuous learning, and engineering excellence that elevates our entire payments ecosystem while shaping the company’s broader AI strategy.
A Typical Day
Spearhead LLM agents, realtime anomaly detectors, and other breakthrough solutions that solve real‑world problems and create product magic.
Collaborate with product, engineering, ops, and data science to spot high lever opportunities, refine AI/ML requirements, make principled architecture choices, and measure business value with clear, data‑driven metrics.
Design, train, deploy, and operate large‑scale AI applications for both batch and streaming workloads, ensuring low latency, high reliability, and continuous improvement via automated monitoring and retraining loops.
Mentor and inspire teammates, fostering a collaborative, experimentation‑driven environment where cutting‑edge research meets production excellence and every engineer is empowered to push AI boundaries at Airbnb.
Your Expertise
5+ years of industry experience in applied AI/ML, inclusive MS or PhD in relevant fields.
Strong programming (Python/Java) and data engineering skills.
Proven mastery of modern AI/LLM workflows – prompt engineering, fine tuning (LoRA, RLHF), hallucination mitigation, safety guardrails, and rigorous online/offline testing to minimize training/inference drift and ensure reliable outcomes.
Hands‑on experience with at least three of the following: PyTorch/TensorFlow, scalable inference stacks, vector search, orchestration/MLOps platforms (Kubeflow, Airflow), large‑scale data streaming & processing (Spark, Ray, Kafka)
Demonstrated success designing, deploying, and monitoring production AI systems – e.g. personalization engines, generative content services – complete with drift/cost/latency monitoring, automated retraining triggers, and cross‑functional collaboration that translates ambiguous business needs into measurable AI impact.
Prior knowledge of AI/ML Applications in the Payments domain is highly desirable.
Your Location
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at off‑sites, 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 — $223,000 USD
#J-18808-Ljbffr
In Summary: Payments is responsible for everything related to settling money in Airbnb’s global marketplace and makes the Payment experience as delightful, magical, intuitive, and easy as possible . As a Senior ML Engineer for Payments, you will be the catalyst that transforms bold AI innovation into production systems that make Airbnb Payment experience feel effortless and secure .
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 ser 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. En el equipo de modelado de pagos, nuestro objetivo es potenciar la misión mediante la introducción de inteligencias y personalizaciones que optimicen el volumen masivo de transacciones diarias de Airbnb para recoger mejor los pagos de los huéspedes, distribuir pagos a los anfitriones mientras evita que ocurran las transacciones fraudulentas. Diferencia Usted hará Como ingeniero senior de ML for Payments, usted será el catalizador que transforma la innovación en IA atrevido flujo de trabajo impulsado por LLM, defensas contra fraudes en tiempo real y flujos de checkout hiperpersonalizados en sistemas de producción que hacen que la experiencia de Airbnb Payment se sienta sin problemas y segura; desarrollará soluciones finales a escala global, colaborará estrechamente con equipos de pruebas de software y operaciones para convertir los requisitos complejos en servicios de latencia-latencia, y establecerá las habilidades de gestión de datos modernos, la mejora del sistema operativo de información e ingeniería automática (MAG), así como la aplicación de tecnologías avanzadas de tecnología AI/AML® y otras aplicaciones de alta calidad, al mismo tiempo que promueve un esfuerzo técnico y una amplia capacitación tecnológica de cada vez más rigurosa. El puesto puede incluir trabajo ocasional en una oficina de Airbnb o asistencia a sitios externos, según lo acordado con su gerente. Mientras que el puesto es Remote Eligible, debe vivir en un estado donde Airbnb, Inc. tiene una entidad registrada. Haga clic aquí para obtener la lista actualizada de estados discapacitados. Esta lista está evolucionando continuamente, así que por favor vuelva a consultar con nosotros si el estado en el que vive está en la lista de exclusión. Si su posición se encuentra entrevistada por otra entidad empleada, nos invitará a presentarle una solicitud de reclutamiento y le permitirá desarrollar soluciones razonables e integrar las más diversas personas cualificadas. Por favor, incluya su nombre completo, el papel que está solicitando y el alojamiento necesario para ayudarle con el proceso de contratación. Le pedimos que solo nos contacte si es un candidato cuya discapacidad le impide completar nuestra solicitud en línea. Cómo cuidamos de usted Nuestros títulos de trabajo pueden abarcar más de un nivel profesional. El salario básico real depende de muchos factores, como: capacitación, habilidades transferibles, experiencia laboral, necesidades empresariales y demandas del mercado.