Senior Data Scientist
23 hours ago
At Freeform, we're pushing the boundaries of innovation by deploying software-defined, autonomous metal 3D printing factories worldwide. Our cutting-edge technology leverages advanced sensing, real-time controls, and data-driven learning to produce digitally-verified, flawless parts at unprecedented speed and cost.
We're looking for a highly skilled Senior Machine Learning Engineer to join our team. As a crucial member of our engineering team, you'll play a key role in designing, developing, and integrating critical data science infrastructure and developing custom machine learning algorithms from scratch. Your solutions will enable us to scale the first production-scale, high-quality, and fully-automated metal 3D printing factory architecture.
The ideal candidate will have extensive experience in advanced pattern recognition, predictive modeling techniques, and deep learning algorithms, with a strong focus on machine learning as it relates to physics or the physical world. You'll work closely with our simulations engineers to create data models to predict the thermo-mechanical response of printed parts, develop unsupervised learning algorithms to correlate data with printed part quality, and more.
Key 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
- Work closely with simulations engineers to create data models to predict the thermo-mechanical response of printed parts
- Bachelor's degree in computer science, applied mathematics, machine learning, data science, or similar technical discipline
- 5+ years of experience in advanced machine learning
- Proficient with Python, C/C++ or similar object-oriented language
- Experience with machine learning or data science as it relates to physics or the physical world
- A unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology
- A competitive salary range of $140,000-$250,000, commensurate with experience and qualifications
- A comprehensive benefits package, including medical, dental, and vision insurance, life insurance, 401(k), and paid time off
- A collaborative and dynamic work environment with a talented team of engineers and scientists
Our state-of-the-art facility is located in Hawthorne, CA, with easy access to major freeways and public transportation. Enjoy the vibrant emerging tech ecosystem and stunning views of the LA skyline.
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