Top Tech Jobs & Startup Jobs in Seattle, WA

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.

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.

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.

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.

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.

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 optimize statistical, mathematical programming, and machine learning models for Uber’s dynamic pricing systems. Analyze marketplace data, design experimentation and causal inference methods, identify algorithm improvements, and deploy solutions with Product, Engineering, and Operations. Build diagnostic tools, logging infrastructure, and marketplace metrics while translating complex analyses into actionable strategies for business leadership.