Senior Machine Learning Engineer

Freeform is revolutionizing the manufacturing industry by developing autonomous metal 3D printing factories powered by advanced software and machine learning. As a Senior Machine Learning Engineer, you'll be at the forefront of combining cutting-edge ML techniques with physical world applications.

The role offers a unique opportunity to work on complex challenges at the intersection of machine learning and advanced manufacturing. You'll be developing sophisticated data models and deep learning frameworks that control and optimize metal 3D printing processes. The position requires expertise in pattern recognition, predictive modeling, and the ability to bridge the gap between theoretical ML and practical physics-based applications.

Working from their state-of-the-art 35,000 square foot facility in Hawthorne, CA, you'll collaborate with a diverse team of engineers to build the future of digital manufacturing. The company offers an impressive compensation package including a salary range of $140,000-$250,000, comprehensive benefits, and significant equity opportunities.

The ideal candidate brings 5+ years of advanced machine learning experience and a strong foundation in computer science or related fields. While 3D printing experience isn't required, you should be passionate about applying ML to solve complex physical world problems. You'll be responsible for developing everything from unsupervised learning algorithms for quality control to machine health monitoring systems.

Freeform provides an inclusive culture focused on collaboration and data-driven decision making. As an early team member, you'll have significant influence on the technical direction of a rapidly growing company that's scaling world-changing technology. The position offers excellent growth potential and the chance to work on meaningful problems that bridge the digital and physical worlds.