Machine Learning Engineer (Austin or US Remote)
Katana Graph is an AI-powered graph intelligence company providing faster, deeper and more accurate insights on massive and complex data.. Our graph Intelligence platform fuses an unparalleled combination of novel graph algorithms, graph neural network architectures and hardware acceleration to rapidly identify data patterns, anomalies and business insights at unmatched scale and performance.
"Graph AI is the Next Frontier" – if you are looking for the next big thing in the space of Graphs, Business Intelligence, Deep Learning then Katana is the way forward.
- Our customers include top chip manufacturers, bio pharmaceuticals companies, top financial institutions and many pilots at Fortune 500 companies.
- Katana's technology is born out of decade of research at UT Austin that was funded by several DARPA projects and BEA System
- Formed as a business entity in early 2020 we landed a 28.3 million dollars in Series A funding led by Intel Capital, Dell Technologies Capital, Redline Capital, WRVI and Nepenthe Capital.
- Our technology excels in Intrusion Detection, Cybersecurity, AML, Fraud Detection, Root Cause Analysis, Supply Chain, Graph Neural Networks and Graph Analytics as top use cases.
As a Senior Machine Learning Engineer, you will play a fundamental role in designing and managing our machine learning initiatives. You will be responsible for developing, implementing, and improving our product, as well as collaborating across teams to ensure consistently defect-free and high-performance software. This role can either be performed in-person in Austin, Tx or remote from within the United States.
Competencies
- 2+ years experience in machine learning-focused roles.
- Advanced degree (M.S., PhD.) in Computer Science.
- Knowledge of modern techniques in machine learning, deep learning, and high-performance computing.
Technical Skills
- Experience with software development.
- Experience modifying and/or building a deep learning framework like Pytorch, Tensorflow, Keras, etc.
- Advanced usage of C++ required.
- Knowledge of Python is a plus.
By
Katana Graph
Katana Graph combines cutting-edge algorithms, innovation in hardware acceleration, and emerging storage technologies to provide multiple orders of magnitude performance improvements to graph database, graph analytics, and graph mining workloads. ...
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