Top Tech Jobs & Startup Jobs in Seattle, WA

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.