Senior Machine Learning Engineer

7 days ago


Los Angeles, California, United States Freeform Full time
Job Overview

Freeform is pioneering the deployment of software-defined, autonomous metal 3D printing factories worldwide, bringing scalability to physical production. Our proprietary technology stack leverages sensing, real-time controls, and data-driven learning to produce digitally-verified, flawless parts at unprecedented speed and cost.

As a crucial member of our engineering team, you will play a key role in designing, developing, and integrating data science infrastructure and developing custom machine learning algorithms from scratch. Your solutions will enable us to scale the first production-scale, high-quality, and fully-automated metal 3D printing factory architecture.

Responsibilities:

  • Design and develop data models for model predictive control in an advanced metal 3D printing system
  • Integrate data models and physics-based models into a unified simulation framework
  • Develop a deep learning framework for modeling laser melting printing technology
  • Correlate data with printed part quality using unsupervised learning algorithms
  • Develop methods to correlate process data with geometric features
  • Collaborate with simulation engineers to create data models for thermo-mechanical response prediction
  • Develop machine health monitoring learning modules
  • Deploy data science algorithms in production software with software engineers
  • Develop big data infrastructure for production printing data collection and processing

Qualifications:

  • Bachelor's degree in computer science, applied mathematics, or similar technical discipline
  • 5+ years of experience in advanced machine learning
  • Proficient in Python, C/C++, or similar object-oriented language
  • Advanced pattern recognition, predictive modeling, and deep learning techniques
  • Experience with machine learning or data science as it relates to physics or the physical world


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