Senior Software Engineer - Payments

🕒 il y a 3 mois

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Airbnb

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity en 2020-12

B2C • eCommerce • Hospitality

Airbnb est une place de marché en ligne mondiale qui met en relation des personnes cherchant un hébergement avec des hôtes proposant des options de logement uniques et variées, souvent dans des propriétés résidentielles. Les utilisateurs peuvent réserver des espaces allant d'appartements d'une chambre entière à des maisons complètes et des hôtels de charme. Airbnb propose également des expériences, permettant aux invités de réserver des activités organisées par des locaux, offrant ainsi une expérience de voyage authentique.

Description

• Design and own core platform components that power AI across Airbnb Payments. • Partner with product, infra, data science, and operations to translate ambiguous requirements into robust systems with clear SLAs. • Build tooling and automation that makes AI development safer and faster. • Raise the bar on reliability, performance, and governance for models and agents in production. • Champion and support the development of novel ML systems, product integrations, and performance optimizations. • Work with cross-functional partners to identify opportunities for business impact and refine requirements for AI/ML models. • Hands-on productionize and operate AI/ML solution and pipelines at scale, including both batch and real-time use cases. • Lead, mentor, and grow an enthusiastic AI/ML culture within the organization.

🎯 Exigences

• BE/B.tech, preferably in CS, or equivalent qualification. • 7+ years of industry experience in backend/platform engineering (or equivalent), including ownership of production systems. • Strong programming skills in Python, plus solid data engineering foundations. • Good to have experience with AI frameworks (Langraph, Strand etc), orchestration (Airflow/Kubeflow), and streaming/processing (Kafka/Spark/Ray). • Proven track record building observability for AI systems (metrics/logging/traces), with automated alerting, dashboards, and SLO management. • Experience designing model governance and safety guardrails (prompt/version control, red-teaming, policy checks, approvals). • Demonstrated ability to drive performance/cost optimizations (profiling, batching, caching, quantization, autoscaling) in high-traffic environments. • Practical familiarity with vector search/embedding pipelines (indexing strategies, consistency, reindexing, retention).

🏖️ Avantages

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development