Jobs at Uber

Design and build scalable ML infrastructure and backend systems for high-impact marketplace applications. Lead architecture, solve low-latency and high-correctness problems, develop and adopt engineering frameworks, and create production-ready technical roadmaps. Partner with Product, Science, and Operations while mentoring engineers and improving engineering standards. The role requires experience with ML models, foundational models or LLMs, MLOps, Kubernetes, data pipelines, distributed workflows, and large-scale scheduling.

Lead strategy, vision, and roadmap development for Uber Eats consumer affordability and experience products. Collaborate with Design, Data Science, Engineering, Operations, and executive stakeholders to identify opportunities, run data-driven experiments, improve customer journeys, and deliver business outcomes. Lead geographically distributed teams, remove delivery obstacles, optimize performance metrics, and own end-to-end consumer product experiences.

Lead cybersecurity diligence, integration, and operational security efforts for acquisitions, investments, and subsidiaries. Assess cyber maturity and risks across cloud, on-premises, identity, endpoint, SaaS, and engineering environments. Build automation, integrations, security tooling, and telemetry workflows; deploy security services; and support incident response, containment, remediation, and recovery. Partner with security, IT, legal, privacy, corporate development, and business stakeholders while communicating technical risk and improving security resilience.

Develop and own end-to-end machine learning models for Uber Freight’s marketplace, including cost prediction, booking probability, demand elasticity, pricing, matching, recommendations, and optimization. Partner with backend engineers to deploy models to production and ensure reliable performance. Apply predictive modeling, causal inference, constrained optimization, reinforcement learning, and marketplace design to solve complex logistics problems.

Lead the strategy, architecture, and development of Uber’s enterprise endpoint security platform across macOS, Windows, and Linux. Drive vulnerability management, application security, scalable defense automation, and AI-enabled security operations. Establish technical direction, mentor engineers, promote engineering excellence, and collaborate across IT, product, and operations teams to improve security posture at cloud scale.

Architect and scale global network security systems for bot detection, bot mitigation, and DDoS defense. Build distributed backend systems, ML-driven threat defense pipelines, feature stores, and real-time streaming infrastructure. Lead technical strategy, vendor integrations, architecture reviews, security KPI development, experimentation, and cross-functional initiatives while mentoring engineers.

Own Uber’s U.S. immigration program strategy, governance, compliance, vendor management, budget, and execution. Lead employment-based immigration programs, advise Talent Acquisition, Legal, HR, Finance, and business leaders, monitor regulatory changes, manage escalations, define performance metrics, and improve technology-enabled operations. The role also leads cross-functional initiatives, presents recommendations to senior leadership, and coaches a U.S. Immigration Specialist.

Lead systems engineering for Uber’s autonomous mobility and delivery safety team. Define partner-agnostic safety frameworks, system safety requirements, verification and validation strategies, and risk assessments for autonomous vehicle integrations and Uber-built offerings. Influence product roadmaps and strategic partnerships while applying AI and machine learning responsibly to safety validation and risk identification.

Lead product strategy and system requirements for autonomous vehicle platforms operating on Uber. Define vehicle specifications spanning hardware, embedded software, interfaces, and architecture; manage integration decisions with OEMs and autonomy partners; and drive trade-offs involving reliability, manufacturability, scalability, cost, and performance. Establish requirements, interface definitions, release criteria, and execution mechanisms across vehicle programs and generations while communicating risks and decisions to leadership.

Lead technical security diligence, integration, and operational security for acquired companies and subsidiaries. Assess cyber maturity, identify risks, deploy security tooling, build automation, normalize telemetry, and improve security visibility across cloud, on-premises, identity, endpoint, SaaS, and engineering environments. Support incident response, containment, remediation, and recovery while developing reusable security playbooks and frameworks. Communicate technical risks to executives and collaborate with security, IT, legal, corporate development, engineering, and business stakeholders.

Leads scientific strategy and experimentation across Uber, translating ambiguous business problems into rigorous experiments and production solutions. Designs algorithms, establishes experimentation standards, improves technical performance, mentors scientists, and influences executive roadmaps. Requires deep expertise in statistical inference, experimental design, causal inference, and large-scale data tools, with responsibility for multi-team technical direction and critical product-area outcomes.

Lead the technical strategy and architecture for foundation models powering search, recommendations, personalization, and conversational AI across Uber’s Mobility and Delivery products. Own cross-team initiatives involving retrieval, ranking, embeddings, and LLM assistants; guide build-versus-buy decisions; influence product strategy; deliver large-scale ML systems; and mentor senior engineers while connecting model improvements to business outcomes.

Lead the architecture and evolution of Uber’s global core infrastructure, including compute, networking, orchestration, multi-cloud foundations, security, and automation. Design hyperscale distributed systems, improve fleet efficiency, support GPU and AI/ML workloads, enable regional failover, and integrate zero-trust networking. Lead complex technical initiatives from design through global rollout, collaborate across engineering teams, contribute to open-source infrastructure, and mentor engineers.

Own the strategy, roadmap, stabilization, and continuous enhancement of the Talent Acquisition people-systems ecosystem. Manage Oracle ORC and integrated SaaS and custom tools, including backlog prioritization, issue triage, PRDs, user stories, metrics, and cross-functional alignment. Partner with Talent Acquisition, engineering, development, UX, and global stakeholders to improve candidate and recruiter experiences while balancing delivery schedules, system performance, cost, and ROI.

Develop and own end-to-end machine learning models for Uber Freight’s marketplace, including cost prediction, booking probability, demand elasticity, pricing, matching, recommendations, and optimization. Collaborate with backend engineers to productionize models and ensure reliable performance. Apply predictive modeling, causal inference, constrained optimization, reinforcement learning, and marketplace design to solve business problems.

Perform P&C actuarial reserving for Uber’s commercial auto and other insurance coverages. Responsibilities include estimating unpaid claims liabilities, supporting quarterly reserving, validating data, analyzing claims, building visualization tools, making IBNR selections, implementing financial results, and presenting findings to actuarial, claims, accounting, finance, and insurance stakeholders.

Design and build scalable ML infrastructure and backend systems for high-impact marketplace applications. Lead architecture, solve complex low-latency and high-correctness problems, drive organization-wide framework adoption, and translate business requirements into technical roadmaps. Mentor engineers, promote engineering excellence, and develop or support ML models, foundational models, and LLMs using modern MLOps practices, Kubernetes, distributed workflows, and large-scale scheduling.

Leads Uber’s global payment partnerships strategy and executive relationships with networks, acquirers, issuers, wallets, processors, and emerging payment platforms. Owns partner performance, commercial negotiations, market intelligence, strategic opportunities, and cross-functional payment integrations. Builds governance frameworks and leads a global team of partnership managers while representing Uber externally with industry partners and standards organizations.

Define scientific strategy and technical roadmaps for real-time rider pricing and incentive systems. Lead pricing algorithm architecture, experimentation standards, causal inference frameworks, and marketplace optimization at global scale. Translate statistical and economic insights into executive recommendations, guide junior scientists, and partner with Product and Engineering to productionize high-impact solutions.

Develop and deploy computer vision and multimodal models for document understanding, transcription, and verification. Responsibilities include model training, evaluation, production deployment, monitoring, scaling, edge optimization, and building robust evaluation frameworks. The role involves collaborating with infrastructure and product teams, analyzing production failures, and improving model accuracy, efficiency, privacy, and reliability across large-scale applications.