8 days ago
Base Salary
$200k - $235k/yr
Responsibilities
- Develop and continuously improve machine learning models for product, business, and operational use cases.
- Build, productionize, and operate machine learning models and pipelines at scale for batch and real-time applications.
- Develop reusable machine learning systems and infrastructure that support fast model development, low-latency serving, and model quality maintenance.
- Work with large-scale structured and unstructured data and signals including sequential, image, and text data.
- Collaborate with software engineers, product managers, operations, and data scientists to refine requirements, drive engineering decisions, and quantify impact.
- Contribute to ranking and relevance projects including feature platforms, model interpretability, hyperparameter optimization, and concept drift detection.
Requirements
- 5+ years of industry experience in applied machine learning, inclusive of an MS or PhD in a relevant field.
- Strong programming and data engineering skills using Scala, Python, Java, C++, or equivalent.
- Deep understanding of machine learning best practices, including training/serving skew minimization, A/B testing, feature engineering, and feature or model selection.
- Knowledge of machine learning algorithms and domains such as neural networks, deep learning, optimization, natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, and anomaly detection.
- Experience with at least three of TensorFlow, PyTorch, Kubernetes, Spark, Airflow or equivalent, Kafka or equivalent, and data warehouses such as Hive.
- Industry experience building end-to-end machine learning infrastructure and/or building and productionizing machine learning models.
- Exposure to architectural patterns for large-scale software applications, including well-designed APIs, high-volume data pipelines, and efficient algorithms and models.
- Experience with test-driven development and familiarity with A/B testing, incremental delivery, and deployment.
Benefits
- US remote eligible, with occasional work at an Airbnb office or attendance at offsites as agreed with the manager.
- Eligibility to work remotely depends on living in a state where Airbnb, Inc. has a registered entity.
- May be eligible for bonus, equity, benefits, and Employee Travel Credits.
- Airbnb provides reasonable accommodations throughout the recruitment process and supports an inclusive workplace.
Tech Stack
Categories
About Airbnb
Airbnb operates a global online marketplace that connects hosts offering homes, rooms, and unique properties with travelers seeking short-term stays and experiences. The company earns revenue primarily through service fees on bookings; founded in 2007 and headquartered in San Francisco, it is a public company on NASDAQ (ABNB) with over 5 million hosts and guest arrivals recorded in nearly every country.