3 hours ago
Responsibilities
- Build and continuously improve machine learning systems, product integrations, and performance optimizations using large-scale structured and unstructured data.
- Productionize and operate AI/ML solutions and pipelines at scale for batch and real-time use cases.
- Collaborate with software engineering, product, operations, and data science partners to identify opportunities, refine requirements, make engineering decisions, and quantify impact.
- Work with Trust Defense and platform teams to address evolving fraud attacks and strengthen Airbnb’s safety and trust defenses.
- Build observability for AI systems, including metrics, logging, traces, automated alerting, dashboards, and SLO management.
- Lead, mentor, challenge, and grow a collaborative AI/ML engineering culture.
Requirements
- 7+ years of industry experience in backend or platform engineering, or equivalent experience.
- BE/B.Tech, preferably in Computer Science, or an equivalent qualification.
- Strong programming skills in Python, Java, or equivalent languages, along with data structures and algorithms knowledge and solid data engineering foundations.
- Understanding of machine learning best practices including training/serving skew minimization, A/B testing, feature engineering, and feature/model selection.
- Knowledge of machine learning algorithms and domains including gradient-boosted trees, neural networks/deep learning, optimization, natural language processing, computer vision, personalization and recommendation, and anomaly detection.
- Experience with at least three of TensorFlow, PyTorch, Kubernetes, Spark, Airflow, Kubeflow, Kafka, Ray, and Hive.
- Experience building end-to-end machine learning infrastructure or productionizing machine learning models is a plus.
- Experience working in large technology product companies on real-world problems is required.
- Exposure to architecture patterns for large-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.
- Experience in the Trust and Risk domain is a plus.
Benefits
- The role may be eligible for bonuses or incentives, equity programs, benefits, and Employee Travel Credits.
- The stated India base pay range is annualized and inclusive of allowances.
Tech Stack
Categories
About Airbnb
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays, experiences and services that make it possible for guests to connect with communities in a more authentic way.