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Senior Machine Learning Engineer – Document Intelligence
Kensho, New York City, NY
GLOBAL ANALYTICS TECHNOLOGY THAT BRINGS TRANSPARENCY TO COMPLEX SYSTEMS
Duration: Full-Time
What You’ll Do
- Design, build and maintain scalable production-ready ML systems for document understanding tasks
- Collaborate closely with other ML engineers to build ML pipelines for data processing, training, inference and evaluation
- Actively participate in the ML model lifecycle, from problem framing to deployment and monitoring in production
- Work with unique proprietary datasets of millions of unstructured documents
- Work closely with Product, ML Operations, Backend & Frontend teams to deliver ML-based solutions to customers
- Mentor and lead other ML Scientists and Engineers to help make our team even more awesome!
Who You Are
- Are an expert in document understanding, information retrieval, OCR, or a related domain
- Have 3+ years of significant, hands-on experience with ML/NLP (e.g., designing, shipping, and maintaining production systems)
- Are comfortable with modern tools for building ML pipelines, including data processing, training, inference and evaluation
- Have expertise in Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow)
- Demonstrate effective coding, documentation, and communication habits
- [optionally] Have published in top-tier journals & conferences in document understanding, information retrieval, OCR, or a related domain
Technologies We Love
- ML: PyTorch, DGL, HuggingFace, XGboost, Weights & Biases
- ML models: graph neural nets, document-aware transformer models (LayoutLM), object-detection image models (Detectron)
- Deployment: Airflow, Docker, AWS
About Kensho
Kensho is a Data Analytics and Machine Intelligence Company Kensho deploys scalable machine learning and analytics systems across the most critical government and commercial institutions in the world to solve some of the hardest analytical problems of our time.
Want to learn more about Kensho? Visit Kensho's website.
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