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Salary
$155k – $200k per year
Location
Remote/Hybrid (Fremont, United States)
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match
Velo3D is a California company founded in 2014 that builds metal 3D printers for demanding parts. Its support-free process prints complex geometries for space, defence and energy customers. The company is listed in New York.

Position Overview:

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.

Responsibilities

    • 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.

Qualifications

    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.

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