Top Deep Learning Jobs in Seattle, WA

Develop deep learning and 3D computer vision models for state estimation, visual navigation, localization, depth, correspondence, and pose estimation. Own data preparation, training, evaluation, benchmarking, and reproducible workflows. Integrate learned measurements into VIO and terrain-relative navigation systems, optimize models for onboard compute, and collaborate with deployment, software, systems, and flight-test teams to deliver production-ready Hivemind SDK components.

Develop and optimize deep learning compiler infrastructure for high-performance inference across GPUs, data centers, devices, automotive, and robotics. Responsibilities include analyzing neural networks, creating compiler optimization algorithms, defining APIs, improving performance and memory efficiency, implementing compiler techniques, and collaborating with software framework and hardware architecture teams. The role also involves software design, debugging, performance analysis, testing, and independently leading development efforts.

The Staff Data Scientist will design and optimize deep learning models for fraud detection, mentor peers, and lead data science initiatives.

Lead design and training of large-scale transformer and hybrid foundation models across text and multimodal domains. Own architecture choices, diagnose large-scale training instabilities, optimize scaling tradeoffs (data, compute, model), design loss and alignment strategies, and execute distributed training (FSDP/ZeRO, tensor/pipeline parallelism) with mixed precision to build in-house foundation model expertise.

Lead the development of deep learning models for email data, optimize models, design evaluation frameworks, integrate products, and mentor junior researchers.