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 in advanced manufacturing, developing everything from predictive models to deep learning frameworks for laser melting technology.
The position requires strong expertise in machine learning, particularly as it relates to physics and real-world applications. You'll be responsible for designing and implementing critical data science infrastructure, developing custom ML algorithms, and working closely with simulation and software engineers to deploy solutions in production. The role combines theoretical ML knowledge with practical engineering challenges, making it ideal for someone who enjoys applying advanced algorithms to solve tangible problems.
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 competitive compensation ($140,000-$250,000) plus significant equity, comprehensive benefits including 100% paid medical/dental/vision, and a collaborative culture that values data-driven decision making.
This is an exceptional opportunity for an experienced ML engineer who wants to make a significant impact in the future of manufacturing. While 3D printing experience isn't required, you'll need strong fundamentals in machine learning, pattern recognition, and software development. The role offers the chance to work on unique technical challenges while helping scale a transformative technology that's changing how things are made.