Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Seeking a Principal AI/ML Researcher and Engineer to lead research and development in Bayesian Learning and Reinforcement Learning. This role involves architecting large-scale AI systems, model development, and driving technical strategy for innovative AI platforms that enhance personalization and decision-making at Airbnb.

Responsible for fine-tuning state-of-the-art LLMs, optimizing models for deployment, and driving AI architectural decisions. Collaborate with cross-functional teams to develop impactful AI products.

The Principal AI/ML Researcher/Engineer will lead research and development of reasoning, planning, and decision-making systems, integrating multi-agent coordination with reinforcement learning to enhance Airbnb's AI capabilities for personalized experiences.

The Senior Policy Economist will conduct data-driven regulatory and economic analysis, collaborating with various stakeholders and using advanced data modeling to inform policy decisions.

Lead and align ML, data, and engineering teams to define multi-year AI roadmaps, deliver production ML solutions, ensure robust data pipelines, set success metrics tied to business outcomes, and grow/mentor senior managers and engineers.

Lead technical strategy and hands-on engineering for Airbnb's AI-powered ads growth engine. Architect scalable systems for creative generation, bidding, budget optimization, and audience management across paid channels. Write and review code, set standards for availability and quality, collaborate with Marketing/Product/ML teams, roll out staged automation, and mentor engineers to advance platform autonomy while ensuring brand safety and human-in-the-loop controls.

Manage ticket queues and incident response, build observability dashboards, apply LLM-powered triage and automation to reduce recurring tickets, write automation code, maintain CI/CD and IaC, and partner with stakeholders to improve service reliability and MTTR.

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.

Provide transactional counsel on open source licensing/compliance, AI-related licensing, and IP licensing. Review external publications and developer-facing materials, negotiate university research and data agreements, draft IP terms in commercial agreements, build playbooks/templates, and partner with engineering, data science, marketing, and international colleagues to manage IP risk and govern open source releases.

Lead a team of analysts to advance fraud and safety operations through analytics, ensuring robust data products and compliance while empowering stakeholders with actionable insights.