Design, print and produce critical metal parts with Velo3D. Backed by Bessemer.
About the role
We are looking for a machine learning engineer to kick start our efforts to predict printability of complex part geometry. The ideal candidate will have experience in organizing data and developing machine learning models on geometric data. Build a printability model: Work with the process, preprint and applications team to develop ML models using image, thermal, simulation and other sensors to predict the printability of complex CAD models.
What they're looking for
- Required
- Experience with machine learning pipelines particularly on geometric data
- Experience working in a production software engineering environment
- Strong programming skills in Python or C++
- Preferred
- Experience with powder bed fusion based manufacturing
More about this role
We are looking for a machine learning engineer to kick start our efforts to predict printability of complex part geometry. The ideal candidate will have experience in organizing data and developing machine learning models on geometric data.
Build a printability model: Work with the process, preprint and applications team to develop ML models using image, thermal, simulation and other sensors to predict the printability of complex CAD models.
Help define our data collection processes: Design, develop, and help maintain structured and unstructured databases that support data ingestion, storage, and retrieval from diverse data streams.
Deploy models into production: work with the preprint team to deploy the developed models into production.
Required
Experience with machine learning pipelines particularly on geometric data.
Experience working in a production software engineering environment.
Strong programming skills in Python or C++.
Preferred
Experience with powder bed fusion based manufacturing
Knowledge of manufacturing data workflows, IoT sensor data, or industrial automation systems.
Velo, Velo3D, Sapphire and Intelligent Fusion are registered trademarks of Velo3D, Inc. Without...
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