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 involves designing and implementing sophisticated machine learning solutions for metal 3D printing processes, including predictive modeling, deep learning frameworks, and unsupervised learning algorithms. You'll work on challenging problems like correlating process data with print quality and geometric features, while collaborating with simulation engineers to predict thermo-mechanical responses of printed parts.

The position requires strong expertise in machine learning, particularly as it relates to physics and the physical world. You'll need proficiency in Python, C/C++, and experience with advanced pattern recognition and deep learning techniques. While 3D printing experience isn't required, you should be passionate about solving complex technical challenges and creating innovative solutions.

Working from our state-of-the-art 35,000 square foot facility in Hawthorne, CA, you'll join a diverse and inclusive culture that values collaboration and data-driven decision making. The compensation package is highly competitive, including a salary range of $140,000-$250,000, significant stock options, and comprehensive benefits including fully paid medical insurance and 401(k).

This is an exceptional opportunity to be part of a growing company that's scaling world-changing technology. You'll work with cutting-edge technology, have significant impact on the company's direction, and help shape the future of manufacturing through advanced machine learning applications. The role offers both technical challenges and growth opportunities, making it ideal for someone who wants to apply ML expertise to real-world manufacturing problems.