RPI/Blurb is looking to leverage advanced ML models to enhance creative user experiences and optimize operational efficiency within their manufacturing and production platforms.
Requirements
- Deep understanding of: Convolutional Neural Networks (CNNs): Familiarity with applying CNNs for visual inspection, defect detection, and creative generation.
- Deep understanding of: Deep Neural Networks (DNNs): Familiarity with DNN architectures for sensor/time-series/operational data, predictive maintenance, and anomaly detection.
- Demonstrated capacity to lead the adoption of supervised/unsupervised learning, reinforcement learning, AutoML, and production-scale model deployment as an individual contributor.
- Mastery of Python, TensorFlow, PyTorch, Scikit-learn, OpenCV, plus data engineering for IoT/sensor environments.
- Strong history integrating ML models into complex software and industrial systems.
- Recognized for published research, patents, or open-source contributions in ML/AI communities.
- Extensive experience (typically 8+ years) advancing ML in manufacturing, creative automation, supply chain, or digital publishing.
Responsibilities
- Set and drive the technical roadmap for machine learning across Blurb/RPI's creation tools and manufacturing systems, always adapting to new challenges and needs in a dynamic environment.
- Own projects from ideation through production-researching, designing, and implementing advanced ML models for creative automation, personalization, automated quality inspection, predictive maintenance, and process optimization.
- Innovate rapidly, prototyping and iterating on ML solutions that bridge creative tools and industrial operations, and help establish best practices for future scale.
- Architect end-to-end ML pipelines, integrating AutoML, reinforcement learning, and MLOps to ensure scalable, sustainable impact.
- Conduct groundbreaking research in generative AI, computer vision, and predictive analytics, publishing new methods and results when possible.
- Monitor, evaluate, and continuously improve deployed models, delivering actionable, data-driven change company-wide.
- Build foundational machine learning infrastructure that enables Blurb/RPI's rapid, global platform expansion.
Other
- Master's degree or PhD in Computer Science, Machine Learning, Data Science, Industrial Engineering, or a related field or equivalent practical experience developing and deploying ML models at scale.
- Collaborate cross-functionally with product, engineering, and company leadership, influencing strategy and culture as a trusted expert and thought partner.
- As an individual contributor, provide technical expertise, guidance, and mentorship without direct reports-empowering others through strong collaboration.
- Represent Blurb/RPI in external AI forums, conferences, and partnerships, articulating our mission, ambition, and technical innovation.
- Excellent communication, influence, and collaboration skills.
