Jobs at Uber

Leads scientific strategy and experimentation standards across teams, translating ambiguous business problems into rigorous experiments and production solutions. Designs algorithms, improves software and model performance, mentors technical teams, influences executive roadmaps, and owns the technical direction of critical product areas. Requires expertise in statistical inference, experimental design, large-scale data analysis, and distributed computing using SQL and Python.

Lead the technical vision, architecture, and evolution of Uber’s large-scale streaming data platform. Design resilient distributed systems, optimize performance and resource utilization, improve reliability and developer experience, and drive modernization across teams. Provide technical leadership for complex initiatives, establish engineering standards, mentor senior engineers, and shape long-term infrastructure strategy for high-throughput, low-latency, multi-tenant workloads.

Design and build Kubernetes-native systems that schedule, execute, and manage machine learning workloads at scale. Integrate Ray with Kubernetes, improve cluster resource utilization, reliability, observability, and failure handling, and develop tooling, APIs, and frameworks for internal engineering teams. The role includes end-to-end project ownership, code and design reviews, mentoring, and cross-functional collaboration across ML, infrastructure, product, and operations teams.

Develop Android features and platform capabilities for Uber’s autonomous mobility products. Build scalable mobile experiences, lead technical projects from inception through deployment, and collaborate with product, data science, and operations teams. Responsibilities include balancing performance and quality, establishing testing and monitoring standards, managing complex incidents, improving engineering velocity, and contributing to technical excellence across the organization.

Lead Uber’s security strategy and engineering for AI systems, including LLMs, agents, and AI-driven infrastructure. Design and ship secure, scalable systems; establish architecture for identity, access, monitoring, threat detection, data protection, and zero trust; investigate incidents; influence company-wide engineering practices; mentor senior engineers; and partner with security, infrastructure, product, and AI/ML leaders. The role requires 10+ years of software engineering experience and deep cybersecurity expertise.

Design and build Uber’s capacity planning systems, including forecasting models, data pipelines, and services managing infrastructure capacity and spend plans. Reconcile data across Finance and engineering systems, lead multi-team initiatives, ensure production reliability, improve monitoring and data quality, and mentor engineers. Collaborate with Product, Data Science, Finance, and infrastructure teams to translate budgets and growth scenarios into reliable technical roadmaps.

Own Uber’s global relocation and immigration service delivery strategy and execution. Lead executive relocation support, manage GRI business partners and external vendors, oversee compliance and service metrics, improve operations, and develop content strategies. Partner with Talent Acquisition, People & Places, Legal, Finance, and regional stakeholders to support international talent priorities and continuously enhance the global mobility program.

Build and operate security platforms, developer tooling, and AI-powered automation protecting Uber’s software supply chain. Develop secure build and dependency controls, application security tooling, automated offensive testing, and adversarial AI testing for agents and LLM applications. Lead threat modeling, architecture, production engineering, technical strategy, cross-team initiatives, and mentoring while improving security coverage, remediation, developer adoption, and risk reduction.

Lead global payment implementations from requirements through production launch, including processor, card payment, market, and line-of-business launches. Establish scalable implementation processes, testing standards, controls, and operational readiness practices. Coordinate Product, Engineering, Operations, Finance, Partnerships, and external payment providers while managing dependencies, risks, timelines, and technical tradeoffs. Provide senior payment-processing expertise and influence cross-functional stakeholders without direct authority.

Lead the design, development, productionization, and monitoring of machine learning models and pricing algorithms for Uber’s large-scale, real-time marketplace. Develop optimization solutions using deep learning, causal modeling, reinforcement learning, and algorithmic game theory. Set technical direction, mentor engineers, collaborate cross-functionally, and deliver scalable systems serving billions of trips and over one million predictions per second.

Provides technical leadership for enterprise security architecture, platforms, and controls across endpoints, infrastructure, applications, and cloud environments. Responsibilities include developing security strategy and roadmaps; implementing endpoint, EDR, zero-trust, application, and infrastructure protections; building scalable security services and automated workflows; and partnering across engineering teams to improve security posture, resilience, and operational excellence.

Leads Uber’s global payment-partnership strategy and executive relationships with networks, acquirers, issuers, wallets, processors, and emerging payment platforms. Owns partner performance, commercial negotiations, market intelligence, and new partnership development while collaborating with Product, Engineering, Legal, Finance, Risk, and regional teams. Builds and mentors a global partnerships organization and establishes scalable governance, frameworks, and playbooks.

Conduct security design reviews, threat modeling, penetration testing, and adversarial assessments of services, applications, APIs, infrastructure, mobile platforms, and AI agents. Build AI-powered automation to scale security assessments, identify complex attack paths, and improve security controls. Collaborate with engineering and security teams to address systemic weaknesses, evaluate cloud-native architectures, and communicate actionable findings across technical and non-technical stakeholders.

Conduct security and privacy design reviews, threat modeling, penetration testing, and adversarial assessments of applications, APIs, cloud services, and AI agents. Identify attack paths, sensitive-data risks, and control weaknesses; document findings and remediation guidance; partner with engineering and vendors to validate fixes. Build AI-powered automation and reusable tooling to scale continuous security assessments.

Lead product vision and strategy for Uber Parcel, building scalable platforms that connect digital and physical operations. Define requirements, roadmaps, OKRs, and measurable outcomes; coordinate Engineering, Data Science, Design, Legal, and external partners; oversee APIs, orchestration layers, experimentation, quality monitoring, and global product launches. The role requires strong technical depth, marketplace or platform experience, executive communication, and the ability to lead ambiguous 0-to-1 initiatives.

Lead the technical vision and long-term machine learning strategy for Consumer Incentives. Design personalization, causal measurement, experimentation, and constrained optimization solutions; architect scalable end-to-end ML systems; evaluate reinforcement learning, foundation models, and generative AI; and drive cross-functional initiatives from formulation through production. Mentor technical leaders, establish engineering best practices, and connect model improvements to measurable consumer and business outcomes.

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.

Lead cybersecurity risk intake, assessments, treatment and exception workflows; partner with engineering and governance teams to drive remediation. Own GRC tooling components, configure ServiceNow and Jira workflows, build Python and SQL automation, reconcile integrations, and create executive risk reporting. The role also includes incident response leadership, forensic investigation, threat hunting, technical simulations, and mentoring security professionals.

Leads technical direction for Uber’s AI developer platform, building agentic systems that plan, code, review, verify, and ship software. Responsibilities include architecting durable workflows, setting AI evaluation and reliability standards, partnering across engineering organizations, shipping critical platform components, mentoring technical leaders, and representing the platform externally. The role requires large-scale backend or developer-platform engineering experience, strong programming skills, and technical leadership across multi-team initiatives.

Own and deliver web frontend products at Uber scale, partnering with stakeholders and cross-functional teams. Build applications using React, GraphQL, Flow, CSS-in-JS, Node.js, and Uber’s frontend frameworks. Measure feature experiments, collaborate with Data Science and Product teams, and iterate on user experiences. Mentor junior engineers, provide technical leadership, and ship high-quality features on schedule.