Freeform is deploying software-defined, autonomous metal 3D printing factories around the world, bringing the scalability of software to physical production. The company needs to develop and integrate critical data science infrastructure and custom machine learning algorithms to enable the scaling of the first production-scale, high-quality, and fully-automated metal 3D printing factory architecture.
Requirements
- 5+ years of experience in advanced machine learning
- Proficient with Python, C/C++ or similar object oriented language
- Proficient in 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
- Experience with computational geometry
- Proficient in data mining and statistical analysis
- Experience with both supervised and unsupervised learning techniques
Responsibilities
- Design and develop data models used for model predictive control in an advanced production-scale metal 3D printing system
- Integrate data models and physics-based models into a unified simulation framework
- Develop a deep learning framework for modeling the complex physics associated with laser melting printing technology
- Develop unsupervised learning algorithms to correlate data with printed part quality
- Develop methods to correlate process data with geometric features
- Work closely with simulations engineers to create data models to be used to predict the thermo-mechanical response of printed parts
- Develop learning modules for machine health monitoring
Other
- Bachelor's degree in computer science, applied mathematics, machine learning, data science, or similar technical discipline
- Master's or PhD in computer science, applied mathematics, machine learning, data science highly preferred
- Creative thinker able to apply first-principles reasoning to solve complex problems
- Excellent verbal and written communication skills
- We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
