• 3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!
• Bachelor's degree in computer science, applied mathematics, machine learning, data science, or similar technical discipline
• 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
• Creative thinker able to apply first-principles reasoning to solve complex problems

Desirable

• As a Senior Machine Learning Engineer at Freeform, you'll need extensive experience in advanced pattern recognition, predictive modeling techniques, and deep learning algorithms, and should have experience with machine learning as it relates to physics or the physical world
• You will play a key role in designing, developing, and integrating critical data science infrastructure and developing custom machine learning algorithms from scratch
• Ultimately your solutions with enable us to scale the first production-scale, high-quality, and fully-automated metal 3D printing factory architecture
• As a crucial member of the engineering team you will be responsible for driving the pace of innovation, maximizing development speed, and maintaining a standard of excellence within the entire engineering team
• 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
• Work with software engineers to deploy data science algorithms in production software
• Guide software engineers to develop the big data infrastructure required to collect and process large amounts of production printing data
• Develop data models used for the end-to-end automation of an advanced metal 3D printing platform