Senior Machine Learning Engineer at Freeform – Los Angeles, CA; On-site

Senior Machine Learning Engineer at Freeform – Los Angeles, CA (On-site)
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 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:

• 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
• Proficient in advanced pattern recognition, predictive modeling and deep learning techniques
• Experience with machine learning or data science as it relates to physics or the physical world

Nice to Have:

• Master’s or PhD in computer science, applied mathematics, machine learning, data science highly preferred
• Experience with computational geometry
• Proficient in data mining and statistical analysis
  
  Experience with both supervised and unsupervised learning techniques
• Experience with image processing
• Proficient with No
  
  SQL databases, such as Mongo
  
  DB or Cassandra
• Experience using query languages such as SQL or Hive
• Knowledge of MATLAB
• Creative thinker able to apply first-principles reasoning to solve complex problems
• Excellent verbal and written communication skills

Location:

• We are located in Hawthorne, CA in a 35,000 square foot, state-of-the-art facility featuring large open spaces for team collaboration, R&D, and production, as well as easy access to the 405, 105, and 110 freeways. Our facility is in the heart of Los Angeles’ vibrant emerging tech ecosystem alongside many other high growth startups and enterprises.

What We Offer:

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
• We offer a unique opportunity to be an early and integral member of a rapidly growing company…