Top Tech Jobs & Startup Jobs in Seattle, WA

Develop, optimize, and deploy production-grade computer vision models (depth, segmentation, tracking) for an autonomous mower. Own model lifecycle from data collection and synthetic-data strategies through training, edge optimization (quantization, mixed precision), and embedded NVIDIA GPU deployment. Integrate perception with robotics stack, analyze field failure cases, and continuously improve robustness for challenging outdoor conditions.

Support See & Spray CVML team by running reproducible experiments, implementing and evaluating CV and ML models (CNNs to transformer-based), improving evaluation pipelines, debugging models, and applying data-centric AI practices to drive product performance.

Build and maintain production data pipelines and tools for large-scale image and sensor datasets. Design, develop, and test full-stack applications for vector and raster data, implement cloud and edge data offboarding, create continuous delivery pipelines (Kubeflow/Airflow/Databricks), collaborate with cross-functional teams, and document code, APIs, and system architecture.

Join an R&D team to develop image-processing and computer-vision algorithms for 2D/3D scene segmentation, design experiments to detect long-tail model failures, and explore deep learning models and active learning methods to improve autonomous robotic vision systems.

Lead strategy and roadmaps for platform offerings that support robotics and autonomous systems. Drive customer discovery, define requirements and metrics, coordinate cross-functional execution, ensure production readiness, and lead adoption, rollout, and stakeholder communication for platform capabilities.