Top Tech Jobs & Startup Jobs in Seattle, WA

Design and implement infrastructure to evaluate fault-tolerance strategies and quantum error correction codes. Collaborate with theorists, experimentalists, and engineers to develop logical and physical qubit architectures, enable scalable resilient quantum systems, and apply AI to accelerate engineering and experimentation.

Design and train large-scale transformer-based models and end-to-end ML systems for ad interaction and conversion prediction. Build weak-label and attribution pipelines, develop multi-task and calibration methods, run offline and online evaluation, and deploy production-ready models that improve ad ranking, bidding, and advertiser ROI at web scale.

Lead design and delivery of a cloud-native, distributed platform for agentic generative AI applications. Define product vision, architect for scale, collaborate across SDK/experience teams, engage customers, and drive operational excellence and reliability for large-scale AI services.

Lead and negotiate strategic finance-data partnerships (exchanges, indexes, aggregators) to enable Microsoft products. Structure complex AI/ML and grounding/display rights deals, align Product/Engineering/Legal/Finance, drive portfolio optimization and regional coverage, and represent partnerships to executive leadership.

Drive supply chain and sourcing strategy through analysis, benchmarking, and recommendations. Lead cross-functional teams to implement strategic projects, track KPIs, ensure supply resiliency at product launch, manage exec communications, and support initiatives like sustainability and policy.

Lead product management for the Purview data classification platform, driving scalability, performance, and accuracy. Define requirements from customer and market signals, guide development, manage launches, and track product performance and metrics.

Drive quality, performance, and engineering effectiveness for Microsoft Edge by designing, implementing, and maintaining diagnostics, telemetry, automation, experimentation, and AI-powered developer tools. Own projects from design through deployment, analyze signals to find improvements, modernize systems for scale and reliability, and collaborate across teams to improve engineering productivity and customer-facing performance.

Serve as an HR Generalist for Microsoft AI, advising leaders on hiring, onboarding, talent development, and organizational effectiveness. Partner with Recruiting and HRBPs, lead people initiatives, use workforce data to inform decisions, and improve employee experience in a fast-growing, agile environment.

Build and maintain highly scalable ingestion pipelines and indexing solutions for semantic search and LLM grounding across enterprise M365 data. Design, implement, test, and operate low-latency, high-availability services while ensuring security, compliance, and integration with other engineering teams.

Lead performance modeling and analysis for AI inference across microarchitecture to system/software. Implement and extend simulators, run large-scale experiments, analyze latency/throughput/efficiency, and provide data-driven guidance to chip, system, and software architects to influence design decisions.