Top Tech Jobs & Startup Jobs

Lead architecture and maintenance of end-to-end traffic classification ML systems for adversarial domains. Own model lifecycle from offline evaluation to millisecond-edge deployment, build certified offline-to-online data pipelines, establish rigorous evaluation and leakage-prevention, optimize inference under strict latency/cost budgets, integrate scoring with mitigation workflows, and provide cross-functional leadership and mentorship.

Lead analytics partner to Community Support, driving data-driven roadmaps, scalable reporting and measurement, causal inference and experimentation, and improvements to agent/guest/host experiences via analytics, modeling, and stakeholder influence.

Lead the Payments Insights Analytics team, utilizing data and AI/ML for strategy execution, operational excellence, and stakeholder communication.

The Staff GenAI Backend Engineer leads engineering for intelligent routing systems, collaborates with teams to enhance customer support, and maintains architectural integrity in a high-availability environment.

Lead design and delivery of large-scale ML and AI systems for Airbnb Community Support products. Develop and productionize LLM-based solutions (fine-tuning, RAG/search, evaluation automation, feedback learning, guardrails), collaborate cross-functionally with product and design, and shape early-stage AI initiatives through to production to improve customer support experiences.

Lead the operating system for Airbnb's growth levers, owning intake, sequencing, budget-to-roadmap translation, launch governance, cross-functional cadence, reporting, and execution across regions and teams.

Lead payments analytics by building scalable reporting, causal inference and ML models, designing experiments, partnering with product/engineering/finance to optimize payment processing, reconciliation, and settlement, and translating results into executive recommendations to drive global payments improvements.

Lead cross-functional localization programs from strategy through execution; design and implement scalable, AI-augmented localization and MT solutions; manage integrations with engineering, product, and external language service providers; drive process, tooling, automation, and quality frameworks to improve cost, efficiency, and cultural resonance at global scale.

Lead end-to-end mixed-methods UX research for payments growth: design and run qualitative and quantitative studies, perform statistical analysis and surveys, synthesize insights, influence product and executive stakeholders, and facilitate workshops to drive payments product strategy and improvements.

The Principal Machine Learning Engineer will fine-tune and optimize LLMs for various applications, develop AI products, and enhance ML infrastructure in collaboration with cross-functional teams.