Top Tech Jobs & Startup Jobs in Chicago, IL

Lead causal inference and measurement efforts for payments, build and evaluate ML/AI and LLM-based models, optimize fraud mitigation and loss strategies, simulate interventions, and communicate findings to stakeholders to drive product and risk decisions.

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 strategy and execution for Airbnbs identity verification platform, balancing trust, user experience, and marketplace health. Define roadmap, prioritize features, partner with engineering, design, policy, and cross-functional teams, run experiments, evaluate partnerships, and use data and research to inform product decisions and long-term identity strategy.

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 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.