Top Tech Jobs & Startup Jobs in Los Angeles, CA

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.

Build and productionize large-scale ML models and pipelines for query understanding and personalization. Work on autocomplete, query tagging/NER, query expansion, intent modeling, and LLM-powered natural-language search. Collaborate cross-functionally to design, deploy, and monitor batch and real-time systems, leveraging modern ML infrastructure and tooling to improve search relevance across Airbnb products.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

Lead product strategy for AI Personalization, developing AI systems for personalized customer support at Airbnb. Manage the full-stack systems, influence roadmap decisions, and collaborate across teams to optimize performance and user experience.

Lead Airbnbs global Host SEM program: define strategy and budget, run experiments across bidding/creatives/landing pages, partner cross-functionally, scale automation/AI, and report performance to senior leadership to drive efficient host acquisition and long-term supply growth.

Own the roadmap and execution for discounts and promotions across Airbnb's marketplace. Design promotional mechanics, build programmatic promotion capabilities, partner with design, engineering, data science, and cross-functional teams, set OKRs, and drive adoption. Use research and analytics to optimize pricing, targeting, and marketplace impact to help hosts increase earnings and improve price competitiveness.

The Analyst will manage demand forecasting and capacity planning for contact center services, utilizing advanced analytics and statistical models to optimize resources and meet service objectives. Responsibilities include model design, data analysis, and stakeholder communication.

Lead Airbnb's competitive intelligence function: monitor competitors and industry trends, run strategic deep dives, own CI data strategy and vendor relationships, produce executive-ready insights, and enable cross-functional reporting and infrastructure.

Lead development of cutting-edge LLM and Agentic AI systems for Airbnb customer support, from research and prototyping to production deployment. Collaborate with product, design, and engineering to build scalable ML infrastructure, improve model performance, and implement evaluation, fine-tuning, and guardrails for chat and voice assistants.