Senior Software Engineer, AI/ML

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Airbnb

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Build and continuously improve novel ML systems, product integrations, and performance optimizations using large-scale structured and unstructured data • Identify opportunities for business impact and refine and prioritize AI/ML model requirements with cross-functional partners • Drive engineering decisions and quantify impact • Collaborate with software engineers, product managers, operations, data scientists, trust defense teams, and platform teams • Tackle changing fraud attack landscapes • 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 • Strengthen Airbnb’s Trust defenses and develop scalable solutions for online and offline risk

🎯 Requirements

• 7+ years of industry experience in backend/platform engineering (or equivalent) • BE/B.Tech, preferably in CS, or equivalent qualification • Strong programming skills in Python, Java, or equivalent • Data structures and algorithms knowledge • 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 3 or more of TensorFlow, PyTorch, Kubernetes, Spark, Airflow/Kubeflow, Kafka/Spark/Ray, and Hive • Experience building observability for AI systems with metrics, logging, traces, automated alerting, dashboards, and SLO management • Must have experience working in large tech product companies solving real-world problems • Exposure to architectural patterns of large, high-scale software applications • Experience with test-driven development, A/B testing, incremental delivery, and deployment • Applied machine learning experience is a plus • Experience building end-to-end machine learning infrastructure and/or productionizing machine learning models is a plus • Experience with the Trust and Risk domain is a plus

🏖️ Benefits

• Bonus or incentives eligibility • One or more equity programs • Benefits • Employee Travel Credits • Allowances included in the base pay range • Disability-inclusive application and interview process • Reasonable accommodations during recruiting