Top Tech Jobs & Startup Jobs in Seattle, WA

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.