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We’re Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers – farmers, construction crews, and foresters – to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff, pixel-by-pixel and task-by-task, leads to big gains.
Job Responsibility:
Develop and maintain real-time image processing pipelines and integrate hardware sensors for computer vision applications
Design and automate data labeling and preprocessing
Manage and scale machine learning experimentation and training infrastructure
Design and implement hardware-in-the-loop technologies to develop and validate autonomous systems
Implement and oversee orchestration and meta-orchestration systems to enable seamless CVML pipeline execution across hybrid cloud environments
Requirements:
Master’s degree in Computer Science or related field plus 5 years of related experience or Bachelor’s degree in Computer Science or related field plus 7 years of relevant experience
Design and development of backend and frontend applications, build and maintain internal data labeling tools using Python, React/NodeJS, PyQT, and Django frameworks (5 yrs)
Development of image processing pipelines using Python scientific, numpy, and CUDA, adjusting images across data channels and content or objects (3 yrs)
Use Kubernetes to develop, deploy, and harden data science and labelling applications, support hybrid training workloads via Kubeflow and multi-cluster orchestration tools (3 yrs)
Develop massive parallel data analytics and visualization pipelines using AWS, Apache Spark & Databricks for CVML and Fleet Analytics workloads (3 yrs)
Finetuning and training visual models using Pytorch framework, design meta-orchestration frameworks to coordinate labeling, training, and monitoring pipelines (5 yrs)
Orchestrate ML, Data processing, and self-healing workloads using MLFlow, Kubeflow, and Snakemake orchestration framework (3 yrs)
Low-level model optimization and scaling using C++, ONNX (3 yrs)
Design and implement real-time image processing pipelines using OpenCV, scikit-image, and CUDA for embedded and cloud-based applications (3 yrs)
Own and manage the lifecycle of ML experiments across tools, including MLflow, AIM, TensorBoard, and W&B (3 yrs)
10% domestic or international travel required for whole team meetings and to work on on-premises solutions