The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. The job is to 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.
Requirements
- 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, anomaly detection)
- 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.
- 9+ years of industry experience in applied Machine Learning
Responsibilities
- 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.
- 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.
- Build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
- Develop, productionize, and operate Machine Learning models and pipelines at scale.
- Develop reusable, highly differentiating and high-performing Machine Learning systems.
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.
- US - Remote Eligible
- Must live in a state where Airbnb, Inc. has a registered entity.
- All qualified individuals are encouraged to apply.
- We strive to also provide a disability inclusive application and interview process.
