4 hours ago
Responsibilities
- Build and continuously improve machine-learning systems, product integrations, and performance optimizations using large-scale structured and unstructured data.
- Collaborate with software engineering, product management, operations, and data science partners to identify opportunities, prioritize AI/ML requirements, make engineering decisions, and quantify impact.
- Work with Trust Defense and platform teams to address evolving fraud attacks and other trust and safety challenges.
- Productionize and operate AI/ML solutions and pipelines at scale for batch and real-time use cases.
- Build observability for AI systems with 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 equivalent qualification.
- Strong programming skills in Python, Java, or an equivalent language, plus data structures and algorithms 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 and/or productionizing machine-learning models is preferred.
- Experience working in large technology product companies and solving real-world problems.
- Exposure to architectural 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 preferred.
Benefits
- The role may be eligible for bonuses or incentives, one or more equity programs, benefits, and Employee Travel Credits.
- The position is based in India, and the stated base pay range is annualized and inclusive of allowances.
Tech Stack
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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.