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

Lead the technical direction for Uber’s rider pricing machine learning systems. Develop and improve pricing and promotion-targeting models, optimization algorithms, and production serving systems. Own technical roadmaps, collaborate cross-functionally, mentor engineers, and lead teams delivering scalable real-time and offline solutions. Apply deep learning, generative AI, causal modeling, personalization, and reinforcement learning to improve ridership, revenue, and profitability.

Develop and scale machine learning and optimization systems for Uber's rider pricing, discounts, promotions, and personalized messaging. Build real-time and offline models and infrastructure, apply deep learning and generative AI, optimize Spark-based data workflows, and collaborate with product and science teams to deliver measurable revenue and growth outcomes.

Lead machine learning and optimization initiatives for Uber’s rider pricing systems. Develop, improve, evaluate, and deploy scalable pricing and promotion-targeting algorithms. Own technical problems end to end, shape product and technical roadmaps, collaborate across ML, serving, and product teams, and mentor engineers. Apply deep learning, generative AI, causal modeling, representation learning, personalization, and reinforcement learning to improve pricing, affordability, ridership, and revenue.

Design and build Uber-scale distributed search infrastructure supporting lexical, semantic, vector, hybrid, and AI-native retrieval. Optimize indexing, query latency, resource utilization, scalability, reliability, and cost. Shape platform architecture, solve complex storage and query-execution challenges, and lead cross-team initiatives from design through production adoption while mentoring engineers and influencing technical direction.

Lead and develop engineering teams, define technical vision and roadmaps, oversee scalable distributed systems and complex projects, and drive execution, reliability, code quality, and operational excellence. The role requires cross-functional leadership, architectural involvement, metrics and incident review, team growth, and communication of technical strategies to company leadership and global partners.

Supports strategic finance for Platform Engineering through financial modeling, forecasting, budgeting, scenario analysis, variance analysis, and reporting. Builds scalable driver-based models from scratch, improves existing models, translates ambiguous business questions into quantitative frameworks, and communicates financial insights to Finance, Accounting, and cross-functional stakeholders.

Design consumer-facing ad and offer experiences for Uber Eats, owning projects from concept through launch. Collaborate with Product, Engineering, UX Research, Machine Learning, Data Science, and Sales teams. Use customer research, data, experiments, AI tools, and systems thinking to create scalable experiences involving personalization, ranking, and AI-generated content.

Own Uber’s enterprise security awareness and human risk management program. Develop risk-based training curricula, interactive learning modules, campaigns, and audience-specific communications. Package content for learning platforms, measure engagement and behavior change, conduct stakeholder interviews, and identify control or tooling improvements. Partner with Security, Communications, Learning and Development, People, and business teams while using data and approved AI tools to improve program effectiveness.

Advise IT owners on SOX and financial reporting controls, evaluate control design and effectiveness, manage deficiencies and remediation, support auditors, and drive compliance improvements through automation, AI, analytics, and modern technology. The role also delivers risk training, monitors regulatory changes, prepares leadership reporting, and partners with Engineering, Product, Finance, and Compliance Engineering teams.

Leads the regional SMB restaurant account management business, building and coaching a high-performing team, driving partner revenue and product adoption, managing stakeholder relationships, and improving scalable account management processes. Owns commercial performance, retention, investment decisions, and long-term partner relationships while navigating ambiguity and organizational change.