Top Tech Jobs & Startup Jobs in Seattle, WA

Lead global content and creative strategy for Snaps Small and Medium Customers marketing. Develop sales enablement materials, on-platform notifications, email and web content, run data-driven tests with Revenue and Data Science, and manage designers, web developers and copywriters to drive engagement and revenue.

The Staff Machine Learning Engineer will lead the development of search ranking systems, focusing on machine learning models for relevance, quality, and personalization through various advanced techniques and collaboration with cross-functional teams.

Lead technical strategy, architecture, and implementation for ML inference platform services. Design and scale distributed, high-throughput inference systems, collaborate across teams, drive availability, scalability, operational excellence, cost management, and provide company-wide technical direction and mentorship.

Design and implement Android features from design through launch, optimize mobile UX and performance, perform code reviews, evaluate technical tradeoffs, and use AI tools to streamline development while maintaining security and production-quality code.

Lead technical direction, design, build, and operate Snap's large-scale service and compute infrastructure. Drive platform roadmaps, reliability, observability, CI/CD, and developer experience. Act as hands-on staff tech lead across cross-functional initiatives, mentor engineers, and shape infrastructure for an AI-first future.

Lead and mentor a backend engineering team building Snap Map backend services and data infrastructure. Set strategy and roadmap, collaborate with product, data science, and ops, evaluate technical tradeoffs, hire and retain talent, and use AI tools and high-velocity workflows to design and ship scalable, production-ready distributed systems.

Design and scale critical, highly-available services; set technical direction across teams; apply best practices for availability, scalability, cost, and operational excellence; leverage AI tools and high-velocity workflows; mentor engineers and solve ambiguous, company-wide technical problems.

Design, implement, and scale security controls across infrastructure, applications, identity, and cloud. Perform security assessments, threat modeling, code reviews, incident response, and root cause analysis. Build automation and tooling for compliance, observability, and governance. Partner with product and engineering teams and help define security standards and documentation.

Design, build, and deploy large-scale machine learning models powering Snapchat features. Own full ML lifecycle from data analysis to production, prototype with cross-functional partners, apply modern ML techniques, and use AI tools while ensuring code correctness, security, and scalable system design.

Design, build, and deploy large-scale ML models powering core products; own full ML lifecycle from data analysis to production; partner cross-functionally to prototype and launch features; apply modern ML techniques and AI tooling while ensuring code quality, security, and scalable production services.