AI Engineer (Computer Vision / ML Systems)

## About the Opportunity The Thinktank is partnering with one of our portfolio companies in the semiconductor and advanced imaging space. This company is building a digital twin layer for electron microscopy to improve training, safety, and productivity in high-precision lab environments. ## Role Overview This role is for an AI Engineer who will design, build, and deploy machine learning systems operating on real-world microscopy data. This is a highly applied, product-focused position—not a research role. The individual will own the full ML lifecycle, from raw data through production deployment. ## What You'll Do - Build and own end-to-end ML pipelines (data → training → deployment → monitoring) - Develop computer vision models for anomaly detection, segmentation, and feature extraction - Work with noisy, unstructured microscopy and sensor data - Optimize models for real-time or near real-time inference - Integrate models into production systems, APIs, and product workflows - Collaborate closely with product and engineering teams to translate models into usable features ## Required Skills - Strong Python proficiency - Experience with PyTorch (or similar frameworks) - Solid understanding of computer vision (CNNs, transformers, feature extraction) - Experience building and deploying ML systems (not just training models) - Ability to work with imperfect, limited, or messy datasets - Strong problem-solving ability and ownership mindset ## Nice to Have - Experience with microscopy, scientific imaging, or semiconductor data - Familiarity with semi-supervised or few-shot learning techniques - Experience with model optimization (e.g., ONNX, TensorRT) - Exposure to simulation environments or physics-informed ML ## What We Look For - Ability to build and ship independently - Systems thinking beyond individual models - Comfort operating in fast-paced, ambiguous environments