Senior Computer Vision Data Scientist
Core
Lead the development of physics-informed predictive maintenance systems for high-value industrial equipment by fusing inspection imagery with operating history and physics-based inputs to predict component life.
Role type
Senior IC computer vision data scientist (predictive maintenance)
Builds
Production pipelines for asset health prediction and remaining useful life estimation
Domain
Industrial equipment maintenance, Aerospace & Defense, Energy, Semiconductors, Automotive
Deliverable
production ML models
Required skills
pretrained vision encoder fine-tuning (ViT, DINOv3, ResNet), gradient-based interpretability (Grad-CAM, integrated gradients), joint modeling of visual/tabular/time-series/physics signals, probabilistic/Bayesian output modeling, calibrated uncertainty quantification, scalable enterprise cloud pipeline architecture, handling sparse/noisy industrial datasets
Preferred skills
physics-informed or hybrid ML approaches, domain experience in aerospace/energy/mining/MRO
Technologies
ViT, DINOv3, ResNet, Grad-CAM, integrated gradients, enterprise cloud environments
Responsibilities
Select and adapt vision encoders for sparse industrial imaging, build models combining visual features with heterogeneous operational data, produce sensitivity maps for non-ML experts, architect and ship reliable scalable ML pipelines, work directly with domain experts and customers to translate physical intuition into modeling decisions
Seniority
Senior, hands-on IC
