Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead and mentor TPMs to deliver AI platform initiatives across search relevance, recommendation systems, and ML infrastructure. Align stakeholders, define measurable success criteria, manage risks and dependencies, drive execution, and present outcomes to senior leadership. Partner with ML, infrastructure, and product teams to shape technical direction and accelerate data-driven AI initiatives.

Own and scale Airbnb's finance accounting platform: define roadmap, prioritize requests, onboard new products end-to-end, align engineering and finance, ensure data accuracy and monitoring, support month-end close, and automate manual workflows to improve financial data reliability and timeliness.

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.

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 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.

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.