Base Salary
$200k - $400k/yr
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 used for prediction and control in production-scale metal additive manufacturing systems.
- Develop methods to learn from large-scale, high-dimensional in-situ sensor data collected during printing.
- Design unsupervised and self-supervised learning techniques to correlate process signals with part quality, geometry, and performance.
- Develop models that link process parameters, geometry, and machine state to thermal and mechanical outcomes.
- Integrate learned models with physics-based simulation and digital twin frameworks.
- Contribute to the design of closed-loop control and autonomy systems that operate in real time on production hardware.
- Develop learning-based approaches for machine health monitoring, anomaly detection, and system diagnostics.
- 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 within the organization.
Requirements
- 5+ years of experience in machine learning, applied research, or related technical fields, or a PhD in a relevant 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.
Benefits
- Significant stock option packages.
- 100% employer-paid Medical, Dental, and Vision insurance.
- Life insurance.
- Traditional and Roth 401(k).
- Relocation assistance provided.
- Paid vacation, sick leave, and company holidays.
- Generous Paid Parental Leave and extended transition back to work for the birthing parent.
- Free daily catered lunch and dinner, and fully stocked kitchenette.
- Casual dress, flexible work hours, and regular catered team building events.
About Freeform
Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. We are a team of first-principles thinkers driven by a shared mission: to build the fundamental technology that moves the world forward. We believe that solving the foundational challenges of production requires a massive diversity of expertise, deep collaboration, low ego, and a healthy sense of humor. Whether you are an engineer, a builder of systems, or a creative problem-solver in any field, we invite you to help us align the physical world with the pace of human imagination. We are backed by industry leading VC's including Founders Fund, NVIDIA's NVenures, Threshold Ventures, Two Sigma Ventures, Linse Capital, 8VC, Valor, and more who share our conviction in scaling Physical AI to revolutionize manufacturing.