
5001 - 10000 employees
Founded 2007
✈️ Travel
📦 Logistics
🛍️ eCommerce
💰 Post-IPO Equity on 2020-12
Travel • Logistics • eCommerce
Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.
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5001 - 10000 employees
Founded 2007
✈️ Travel
📦 Logistics
🛍️ eCommerce
💰 Post-IPO Equity on 2020-12
Travel • Logistics • eCommerce
Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.
• Build and continuously improve novel machine learning systems, product integrations, and performance optimizations using large-scale structured and unstructured data • Identify opportunities for business impact with software engineers, product managers, operations, and data scientists • Understand, refine, and prioritize requirements for AI/ML models • Drive engineering decisions and quantify impact • Collaborate with trust defense and platform teams to address evolving fraud attacks • Productionize and operate AI/ML solutions and pipelines at scale for batch and real-time use cases • Lead, mentor, challenge, and grow an enthusiastic, collaborative AI/ML culture • Develop scalable solutions that strengthen Airbnb’s trust defenses and protect the community and platform from fraud
• 7+ years of industry experience in backend/platform engineering (or equivalent) • BE/B.Tech, preferably in Computer Science, or equivalent qualification • Strong programming skills in Python, Java, or equivalent • Data structures and algorithms (DSA) • Solid data engineering foundations • Understanding of ML best practices, including training/serving skew minimization, A/B testing, feature engineering, and feature/model selection • Knowledge of ML algorithms including gradient boosted trees, neural networks/deep learning, and optimization • Knowledge of ML domains including natural language processing, computer vision, personalization and recommendation, and anomaly detection • Experience with at least 3 of TensorFlow, PyTorch, Kubernetes, Spark, Airflow, Kubeflow, Kafka, Ray, and Hive • Experience building observability for AI systems, including metrics, logging, traces, automated alerting, dashboards, and SLO management • Must have experience working in large technology product companies solving real-world problems • Exposure to architectural patterns of large, high-scale software applications, including well-designed APIs, high-volume data pipelines, efficient algorithms, and models • Experience with test-driven development, A/B testing, incremental delivery, and deployment
• Bonus or incentives eligibility • One or more equity programs • Benefits • Employee Travel Credits • Allowances included in the annual base pay range • Disability-inclusive application and interview process with reasonable accommodations
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