Freeform is revolutionizing manufacturing with 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 technology. The role combines deep learning, physics modeling, and production automation, requiring expertise in pattern recognition and predictive modeling. You'll work on critical infrastructure and custom ML algorithms that enable high-quality, automated metal 3D printing at scale.
The position offers an exciting opportunity to solve complex problems in physical AI applications, working with a collaborative team in their 35,000 square foot facility in Hawthorne, CA. You'll be responsible for developing sophisticated data models, integrating physics-based simulations, and creating learning frameworks for quality control and machine health monitoring.
The compensation package is highly competitive, ranging from $140,000 to $250,000, plus significant equity options. Benefits include full medical coverage, 401(k), relocation assistance, and various lifestyle perks. The company values diversity and maintains an inclusive culture focused on data-driven decision-making.
This role is perfect for someone who combines strong technical ML expertise with an interest in physical applications, offering the chance to be an early member of a rapidly growing company that's transforming manufacturing through AI and automation. No prior 3D printing experience is required - they're looking for smart, motivated engineers who excel at solving challenging problems.