Airbnb is looking to shape the discovery experience for over 150M global users by taking the lead on projects that power search and recommendations across the entire Airbnb platform, directly influencing how guests and hosts connect in meaningful ways. The goal is to design and deploy state-of-the-art ranking algorithms and robust systems that optimize Airbnb’s most important business goals.
Requirements
- 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.
- Work hands-on with diverse data sources—structured, behavioral, image, and text—transforming raw information into intelligent signals that drive relevance and personalized recommendations.
Responsibilities
- 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.
- 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.
- Example projects include: feature platform, model interpretability, hyperparameter optimization, concept drift detection.
- Design and deploy state-of-the-art ranking algorithms.
- Deploy robust systems that optimize Airbnb’s most important business goals.
- Push 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.
Other
- 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.
- Collaboration lies at the heart of our culture.
- Partner with talented engineers, data scientists, product managers, and designers from across Airbnb to develop holistic solutions that ensure a vibrant and equitable marketplace.
- US - Remote Eligible.
- While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.
