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 that impacts physical production processes.
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 deep learning frameworks for complex physics simulations. The role offers a unique opportunity to apply ML to real-world manufacturing challenges.
Located in Hawthorne, CA, in a 35,000 square foot state-of-the-art facility, you'll be part of LA's growing tech ecosystem. The company offers competitive compensation ($140,000-$250,000) plus significant equity, comprehensive benefits, and a collaborative culture focused on innovation. They provide full medical coverage, 401(k), relocation assistance, and various perks including catered meals.
This is an ideal role for someone who wants to apply machine learning to transform manufacturing, working with cutting-edge technology in a fast-paced startup environment. The position offers both technical challenges and the opportunity to make a significant impact on the future of industrial production. No prior 3D printing experience is required - they value smart, motivated engineers who excel at problem-solving.