Senior Machine Learning Engineer

Freeform is deploying software-defined, autonomous metal 3D printing factories around the world, bringing the scalability of software to physical production. Our proprietary technology stack leverages advanced sensing, real-time controls, and data-driven learning to produce digitally-verified, flawless parts at unprecedented speed and cost. Our mission is to make the transformative power of 3D printing available to all industries at scale and unlock the future of innovation.

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 will enable us to scale the first production-scale, high-quality, and fully-automated metal 3D printing factory architecture.

Key Responsibilities: • Design and develop data models for model predictive control in advanced metal 3D printing systems • Integrate data and physics-based models into a unified simulation framework • Develop deep learning frameworks for modeling complex laser melting printing technology physics • Create unsupervised learning algorithms to correlate data with printed part quality • Develop methods to correlate process data with geometric features • Collaborate with simulation engineers on thermo-mechanical response prediction models • Develop machine health monitoring learning modules • Work with software engineers to deploy data science algorithms and develop big data infrastructure • Create data models for end-to-end automation of advanced metal 3D printing platforms

We offer a unique opportunity to be an integral part of a rapidly growing company scaling world-changing technology. Benefits include significant stock options, fully paid health insurance, 401(k), relocation assistance, generous paid leave, and a collaborative work environment with regular team-building events.