Jobs at Blue River Technology

As an ML Engineer, you'll design and implement end-to-end autonomy solutions, optimize ML models, and collaborate across teams to enhance robotics applications.

As an RL Engineer, design and implement reinforcement learning algorithms, enhance policy robustness, and collaborate to build scalable E2E training systems for autonomy products.

As a Sr Technical Recruiter, you will manage the full recruiting lifecycle for specialized technical roles, collaborate with hiring managers, and enhance candidate experience, while tracking metrics for continuous improvement.

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.

Lead and own cross-organizational technical programs for ML and robotics platform development, define roadmaps and milestones, remove blockers, align diverse engineering teams, and drive adoption of platform best practices to deliver scalable autonomy and infrastructure outcomes.

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.