Top Hybrid Jobs in Seattle, WA

Design, build, and operate scalable ML systems across the distribution and supply platform. Own end-to-end ML feature delivery from data and modeling to deployment, monitoring, and operational support. Collaborate with product and engineering teams, drive ML best practices, and mentor other engineers to improve model quality, reliability, and observability.

The Senior Machine Learning Scientist will lead the development of ML systems for personalized CRM marketing, define technical roadmaps, and mentor team members while collaborating with cross-functional teams.

Lead architecture and delivery of a scalable flight shopping platform: design systems, APIs, and data models; mentor engineers; integrate and operate AI/ML solutions (including neural search and embedding retrieval); improve operational excellence and collaborate with cross-functional teams to deliver resilient, high-performance services.

Join PwC's Financial Crime Unit to analyze complex datasets using SQL and Python to detect AML/sanctions issues. Contribute to client engagements, explore ML, NLP and LLM approaches, build and deploy models, participate in research, and uphold professional and ethical standards while developing technical and commercial skills.

Provide Salesforce consulting services: analyze client needs, design and implement scalable Salesforce solutions, interpret data for insights, mentor junior staff, manage stakeholders, uphold professional standards, and identify project risks.

Develop and execute marketing channel strategies to drive revenue and brand visibility. Write and edit customer-centric copy across web, email, social and events; manage campaign project traffic, stakeholder partnerships, and channel performance analysis; integrate market research and local trends to optimize distribution and customer experience.

Design, implement, and operate critical, highly-scalable backend services (identity, friend graph, persistence). Collaborate across teams, evaluate trade-offs, test and debug, and ensure availability, scalability, operational excellence, and cost management. Participate in incident response and deliver medium-sized features.

Design, implement, and operate critical, highly scalable backend services (identity, friend graph, persistence). Collaborate across teams, build and test distributed systems, ensure availability and operational excellence, use AI tools to accelerate development, and participate in incident response and debugging.

Lead and grow a 7-engineer team owning the React Native/Expo app platform. Drive architecture, write and review code, enable multi-product mobile experiences, mentor engineers, and introduce AI-first engineering practices to balance platform quality and product velocity.

In this role, you'll architect and manage distributed database systems, oversee complex migrations, optimize performance, and mentor engineers, driving operational excellence.

The Product Marketing Lead drives the narrative and adoption of the ZAIDYN Field Performance AI platform by crafting messaging, developing go-to-market strategies, and collaborating with cross-functional teams to enhance customer value and market presence.

This role leads digital transformation initiatives in content management and marketing technology, focusing on AI-based innovations and collaboration with clients in life sciences.

Design, build and own a petabyte-scale self-service real-time data enrichment platform. Lead query processing, ingestion pipelines, storage, indexing and performance optimization using Spark/Flink and Apache ecosystem tools. Deliver unified data catalog, improve query performance and platform efficiency, collaborate on technical reviews, and enable internal and external customers to query and extract data efficiently.

Design and implement scalable backend services and data pipelines for exposure and risk intelligence. Build Golang/Python microservices, integrate messaging (Kafka), manage databases and cloud infrastructure, ensure reliability and monitoring, mentor engineers, and collaborate cross-functionally to deliver risk scoring, attack-path analysis, and remediation automation for hybrid environments.

Lead and grow an engineering team to design, build, and drive adoption of an ontology-based semantic data modeling framework. Define architecture, tooling, governance, integrations with cloud-native data systems, and enablement programs. Partner with product, AI/ML, and security teams to translate domain complexity into reusable ontologies and measurable adoption metrics, mentoring an international team and fostering technical excellence.

The Revenue Accounting Manager will oversee revenue recognition, manage billing and deferred revenue, implement AI solutions, and liaise with multiple departments for compliance and reporting.

Design, build, automate, and operate enterprise-scale Microsoft Hyper-V virtualization across global data centers. Lead architecture, performance benchmarking, full-stack troubleshooting, automation (PowerShell, DSC, APIs), C#/.NET platform development, security hardening, documentation, and mentoring to ensure resilient, high-performance virtualization services.

Lead design, build, and operate scalable ML training platform on cloud. Optimize GPU single-node and distributed training, manage Kubernetes-based infrastructure, enable GenAI/LLM fine-tuning workflows, implement observability, improve developer CI/CD and automation, and enforce governance, security, and responsible AI practices.

Provide 24/7 incident management and response in the Global Incident Command Center and SOC, execute the firm-wide Incident Management Playbook, coordinate cross-functional remediation, communicate with stakeholders, analyze metrics for process improvement, and support tooling and procedure enhancements.

Own and drive the Microsoft-ServiceNow product partnership end-to-end: technical due diligence, dual-roadmap alignment, integration delivery, partnership positioning, cross-functional coordination, and measuring adoption and GTM impact to guide roadmap and investment decisions.