Machine learning [h1.location_city]

Job Description

Job Description

SENIOR MACHINE LEARNING ENGINEER

Freeform is deploying software-defined, autonomous metal 3D printing factories around the world, bringing the scalability of software to physical production. Our proprietary technology stack leverages advanced sensing, real-time controls, and data-driven learning to produce digitally-verified, flawless parts at unprecedented speed and cost. Our mission is to make the transformative power of 3D printing available to all industries at scale and unlock the future of innovation.

As a Senior Machine Learning Engineer at Freeform, you'll need extensive experience in advanced pattern recognition, predictive modeling techniques, and deep learning algorithms, and should have experience with machine learning as it relates to physics or the physical world. You will play a key role in designing, developing, and integrating critical data science infrastructure and developing custom machine learning algorithms from scratch. Ultimately your solutions with enable us to scale the first production-scale, high-quality, and fully-automated metal 3D printing factory architecture. As a crucial member of the engineering team you will be responsible for driving the pace of innovation, maximizing development speed, and maintaining a standard of excellence within the entire engineering team.

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!

Responsibilities :

• Design and develop data models used for model predictive control in an advanced production-scale metal 3D printing system
• Integrate data models and physics-based models into a unified simulation framework
• Develop a deep learning framework for modeling the complex physics associated with laser melting printing technology
• Develop unsupervised learning algorithms to correlate data with printed part quality
• Develop methods to correlate process data with geometric features
• Work closely with simulations engineers to create data models to be used to predict the thermo-mechanical response of printed parts
• Develop learning modules for machine health monitoring
• Work with software engineers to deploy data science algorithms in production software
• Guide software engineers to develop the big data infrastructure required to collect and process large amounts of production printing data
• Develop data models used for the end-to-end automation of an advanced metal 3D printing platform

Basic Qualifications :

Nice to Have :

Location :

What We Offer :

Significant stock option packages

As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role.