Principal Machine Learning Researcher

Responsibilities

• Design and develop machine learning models for complex, multi-physics manufacturing processes
• Develop hybrid modeling approaches that combine first-principles physics with data-driven learning
• Lead the formulation of learning-based models for prediction and control in metal additive manufacturing
• Develop methods to learn from large-scale, high-dimensional in-situ sensor data
• Design unsupervised and self-supervised learning techniques to correlate process signals with part quality
• Integrate learned models with physics-based simulation and digital twin frameworks
• Contribute to the design of closed-loop control and autonomy systems for production hardware
• Develop learning-based approaches for machine health monitoring and anomaly detection
• Guide the integration of machine learning models into production software and manufacturing workflows
• Help define research direction and technical standards for machine learning applied to physical systems

Requirements

• 5+ years of experience in machine learning, applied research, or related technical fields
• Or a PhD in machine learning, applied mathematics, physics, robotics, controls, or a closely related discipline
• Strong foundations in machine learning applied to physical systems, modeling, or control
• Proficiency in Python and at least one systems-level programming language (C/C++ preferred)
• Experience working with large-scale, noisy, real-world datasets

Preferred Qualifications

• MS or PhD in applied mathematics, physics, robotics, controls, or materials science
• Experience with hybrid physics–ML models, digital twins, or simulation-in-the-loop learning
• Background in autonomy, robotics, model predictive control, or reinforcement learning
• Experience with image-based or sensor-based inference in industrial or scientific settings
• Familiarity with computational geometry or geometric modeling
• Ability to reason from first principles and translate theory into working models

About the Company

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation.