Top Tech Jobs & Startup Jobs in Seattle, WA

Lead research, design, and production deployment of large-scale search and recommendation ML systems, including multi-modal retrieval, multi-stage ranking, personalization, sequential recommenders, evaluation (A/B testing, counterfactuals), and mentoring scientists while partnering with engineering and product teams.

Designs, builds, and operates scalable machine learning platform capabilities across feature engineering, model training, inference, monitoring, and lifecycle management. The role delivers reliable software and infrastructure, improves platform performance and observability, influences architecture and technical standards, and partners with engineering stakeholders to safely integrate AI/ML solutions at scale.

Leads the vision, strategy, and roadmap for AI-powered Brand Expedia experiences across trip inspiration, planning, booking, and travel. Owns experimentation, business outcomes, responsible AI standards, model evaluation, platform partnerships, and third-party AI integrations. Collaborates with engineering, science, design, marketing, and brand teams while coaching product managers and shaping scalable consumer experiences across Expedia’s portfolio.

Backend software engineer responsible for designing, developing, testing, deploying, and operating scalable pricing services. The role involves API and data modeling, system design, monitoring, alerting, automated testing, secure coding, code reviews, incident support, and optimizing high-throughput microservices. The engineer collaborates across product and engineering teams, contributes to AI/ML-enabled solutions, and owns features throughout their lifecycle in a distributed agile environment.

Lead product design for personalization and AI-powered travel experiences. Translate traveler signals, preferences, memory, and machine-learning capabilities into intuitive, explainable products. Collaborate with Product, Engineering, Data Science, Machine Learning, Analytics, Pricing, and Design teams; address cold-start challenges; prototype and test concepts; guide ideas toward production; communicate strategy through storytelling; and establish strong interaction and visual design standards.

Own the strategy, roadmap, and execution of Expedia Group’s air shopping metasearch platform. Improve flight offer visibility, traffic acquisition, conversion, content quality, pricing competitiveness, and profitability across external channels. Partner with Engineering, Marketing, Finance, Analytics, and airline teams on search architecture, scalability, airline content economics, experimentation, and marketplace performance. Establish product goals and influence cross-functional stakeholders while shaping the long-term air-commerce vision.

Design, build, and operate scalable backend services and APIs. Lead technical solutions from requirements through deployment and support, drive architecture and reliability improvements, integrate AI/ML capabilities, and optimize distributed systems for high throughput and low latency. Collaborate across teams, conduct code reviews, mentor engineers, support incident response and root-cause analysis, and promote automation, observability, security, and operational excellence.

Design, build, and operate scalable backend services and APIs. Develop AI- and LLM-enabled capabilities, including agent integrations and retrieval workflows, while implementing guardrails for security, privacy, and reliability. Own features throughout design, development, deployment, monitoring, and incident response. Collaborate across teams, use metrics and experimentation to guide decisions, and mentor engineers on responsible AI-assisted development.

Leads strategy and execution for data- and AI-driven customer communications across email, push, SMS, in-product, transactional, and emerging channels. Owns product vision, personalization, audience insights, journey orchestration, experimentation, measurement, and responsible AI/ML adoption. Partners with Product, Engineering, Data Science, Marketing, Analytics, Legal, and Privacy teams to improve engagement outcomes, resolve data and consent tradeoffs, align senior stakeholders, and mentor Product Managers.

Design and productionize machine learning systems for personalization, recommendation, ranking, retrieval, and traveler understanding. Lead end-to-end scientific work from problem formulation and feature engineering through experimentation, evaluation, deployment, and monitoring. Partner with engineering, product, and business stakeholders on scalable system integration, influence technical direction, mentor scientists, and advance deep learning, sequential modeling, foundation-model, and recommender-system capabilities.