Senior Staff Machine Learning Engineer - Relevance and Personalization at Airbnb (San Francisco) Job at Remotework, San Francisco, CA

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  • Remotework
  • San Francisco, CA

Job Description

Senior Staff Machine Learning Engineer - Relevance and Personalization

Join Airbnbs Relevance and Personalization team, where youll have a unique opportunity to shape the discovery experience for over 150M global users! Youll take the lead on projects that power search and recommendations across the entire Airbnb platformdirectly influencing how guests and hosts connect in meaningful ways. Come design and deploy state-of-the-art ranking algorithms, deploying robust systems that optimize Airbnbs most important business goals.

Our team pushes the boundaries of AI and machine learning throughout the search ranking stack, from data pipelines to feature engineering, model innovation, real-time serving, and large-scale experimentation. Youll work hands-on with diverse data sourcesstructured, behavioral, image, and texttransforming raw information into intelligent signals that drive relevance and personalized recommendations.

Collaboration lies at the heart of our culture. Youll partner with talented engineers, data scientists, product managers, and designers from across Airbnb to develop holistic solutions that ensure a vibrant and equitable marketplace. Together, were dedicated to advancing Airbnbs mission to create a world where anyone can belong anywhere.

Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning (ML) 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 ML/AI models and pipelines at scale, including both batch and real-time use cases.

Leverage third-party and in-house ML/AI 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:

12+ years of industry experience in applied ML/AI, inclusive MS or PhD in relevant fields.

Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.

Deep understanding of ML/AI best practices (e.g. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (e.g. neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection).

Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (e.g. Hive).

Industry experience building end-to-end ML/AI infrastructure and/or building and productionizing ML 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.

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 youre 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.

Senior Staff Machine Learning Engineer - Relevance and Personalization

Join Airbnbs Relevance and Personalization team, where youll have a unique opportunity to shape the discovery experience for over 150M global users! Youll take the lead on projects that power search and recommendations across the entire Airbnb platformdirectly influencing how guests and hosts connect in meaningful ways. Come design and deploy state-of-the-art ranking algorithms, deploying robust systems that optimize Airbnbs most important business goals.

Our team pushes the boundaries of AI and machine learning throughout the search ranking stack, from data pipelines to feature engineering, model innovation, real-time serving, and large-scale experimentation. Youll work hands-on with diverse data sourcesstructured, behavioral, image, and texttransforming raw information into intelligent signals that drive relevance and personalized recommendations.

Collaboration lies at the heart of our culture. Youll partner with talented engineers, data scientists, product managers, and designers from across Airbnb to develop holistic solutions that ensure a vibrant and equitable marketplace. Together, were dedicated to advancing Airbnbs mission to create a world where anyone can belong anywhere.

Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning (ML) 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 ML/AI models and pipelines at scale, including both batch and real-time use cases.

Leverage third-party and in-house ML/AI 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:

12+ years of industry experience in applied ML/AI, inclusive MS or PhD in relevant fields.

Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.

Deep understanding of ML/AI best practices (e.g. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (e.g. neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection).

Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (e.g. Hive).

Industry experience building end-to-end ML/AI infrastructure and/or building and productionizing ML 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.

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 youre 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.

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Job Tags

Full time, Casual work, Work at office, Remote work, Live in,

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