Freeform is revolutionizing manufacturing through software-defined, autonomous metal 3D printing factories. As a Senior Machine Learning Engineer, you'll be at the forefront of developing advanced AI solutions for their cutting-edge manufacturing technology. The role combines deep learning, physics modeling, and real-world applications in a unique way.
The position requires expertise in machine learning, particularly as it relates to physical systems and manufacturing processes. You'll work on challenging problems like developing predictive models for metal 3D printing, creating unsupervised learning algorithms for quality control, and building frameworks that combine physics-based models with data-driven approaches.
Located in a state-of-the-art 35,000 square foot facility in Hawthorne, CA, you'll be part of Los Angeles' growing tech ecosystem. The company offers an impressive benefits package including fully paid premium healthcare, significant equity compensation, and various lifestyle perks like catered meals.
This is an opportunity to join a transformative company that's making advanced manufacturing more accessible and efficient. The role offers both technical challenges and the chance to make a real impact on the future of manufacturing. With a salary range of $140,000-$250,000 plus equity, it's competitively compensated to attract top talent.
The ideal candidate will have 5+ years of machine learning experience, strong programming skills, and the ability to apply first-principles thinking to complex problems. While 3D printing experience isn't required, a passion for solving hard technical problems and creating innovative solutions is essential.