Top Tech Jobs & Startup Jobs in Seattle, WA

Lead ML engineer responsible for designing and building scalable data and ML systems for LLM development. Own data pipelines, human-in-the-loop labeling, synthetic data generation, automated evaluation, and dataset quality measurement. Collaborate with researchers and engineers, provide technical direction, and mentor teams to link dataset composition to model performance.

Lead product strategy and roadmap for an enterprise AI development platform enabling data ingestion, model fine‑tuning, orchestration, governance, and observability. Drive secure, compliant ML lifecycles and tooling so builders can train, deploy, monitor, and debug large-scale models and multi-step agentic workflows for global customers.

Lead ASIC implementation with a focus on Design-for-Test (DFT): define DFT architecture, coordinate with RTL and physical design teams, drive ATPG and EDA tool use, own test infrastructure and post-silicon validation, collaborate on timing closure and electrical planning, and develop reusable DFT IP and verification flows.

Research, design, and implement foundation models for machine-generated and graph data; develop distributed training and inference pipelines; collaborate with engineering and product teams to productionize models; evaluate new AI/ML techniques and drive MLOps, monitoring, and model optimization to improve scalability and reliability.

Lead architecture and technical strategy for Cisco's Identity platform: design scalable, secure distributed systems, drive cross‑domain initiatives, influence executives, mentor senior engineers, and represent Cisco externally.