Freeform Future Corp.
Senior Machine Learning Engineer Los Angeles, CA (On-site)
Freeform Future Corp., Hawthorne, California, United States, 90250
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 will design, develop, and integrate critical data science infrastructure and custom machine learning algorithms from scratch to enable a production‑scale, high‑quality, fully‑automated metal 3D printing factory architecture. You will drive innovation, maximize development speed, and maintain a standard of excellence within the engineering team.
3D printing experience is not required; 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 for predicting 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 a similar technical discipline
5+ years of experience in advanced machine learning
Proficient with Python, C/C++ or a 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, or data science (highly preferred)
Experience with computational geometry
Proficient in data mining and statistical analysis
Experience with supervised and unsupervised learning techniques
Experience with image processing
Proficient with NoSQL databases such as MongoDB 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 Hawthorne, CA – a 35,000‑square‑foot, state‑of‑the‑art facility featuring large open spaces for team collaboration, R&D, and production. The facility is located in the heart of Los Angeles’ vibrant emerging tech ecosystem with easy access to major freeways.
What We Offer
Inclusive and diverse culture that values collaboration, learning, and data‑driven decisions
Opportunity to be an early and integral member of a rapidly growing company scaling a world‑changing technology
100% employer‑paid medical, dental, and vision insurance (premium PPO and HMO options)
Life insurance
Traditional and Roth 401(k)
Relocation assistance
Paid vacation, sick leave, and company holidays
Generous paid parental leave and extended transition back to work for the birthing parent
Free daily catered lunch and dinner with a fully stocked kitchenette
Casual dress, flexible work hours, and regular catered team‑building events
Competitive compensation that reflects experience, education, and abilities; salary range $140,000‑$250,000 + substantial stock option package
Equal Employment Opportunity Freeform is an Equal Opportunity Employer that values diversity; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Export Compliance Due to the nature of various Freeform customers, the employee will have access to information and items controlled by ITAR, and therefore must be a “U.S. person” as defined in ITAR (U.S. citizens, lawful permanent residents, and certain protected individuals). Please consult an advisor if you are unsure whether you are a “U.S. person.”
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As a Senior Machine Learning Engineer at Freeform, you will design, develop, and integrate critical data science infrastructure and custom machine learning algorithms from scratch to enable a production‑scale, high‑quality, fully‑automated metal 3D printing factory architecture. You will drive innovation, maximize development speed, and maintain a standard of excellence within the engineering team.
3D printing experience is not required; 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 for predicting 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 a similar technical discipline
5+ years of experience in advanced machine learning
Proficient with Python, C/C++ or a 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, or data science (highly preferred)
Experience with computational geometry
Proficient in data mining and statistical analysis
Experience with supervised and unsupervised learning techniques
Experience with image processing
Proficient with NoSQL databases such as MongoDB 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 Hawthorne, CA – a 35,000‑square‑foot, state‑of‑the‑art facility featuring large open spaces for team collaboration, R&D, and production. The facility is located in the heart of Los Angeles’ vibrant emerging tech ecosystem with easy access to major freeways.
What We Offer
Inclusive and diverse culture that values collaboration, learning, and data‑driven decisions
Opportunity to be an early and integral member of a rapidly growing company scaling a world‑changing technology
100% employer‑paid medical, dental, and vision insurance (premium PPO and HMO options)
Life insurance
Traditional and Roth 401(k)
Relocation assistance
Paid vacation, sick leave, and company holidays
Generous paid parental leave and extended transition back to work for the birthing parent
Free daily catered lunch and dinner with a fully stocked kitchenette
Casual dress, flexible work hours, and regular catered team‑building events
Competitive compensation that reflects experience, education, and abilities; salary range $140,000‑$250,000 + substantial stock option package
Equal Employment Opportunity Freeform is an Equal Opportunity Employer that values diversity; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Export Compliance Due to the nature of various Freeform customers, the employee will have access to information and items controlled by ITAR, and therefore must be a “U.S. person” as defined in ITAR (U.S. citizens, lawful permanent residents, and certain protected individuals). Please consult an advisor if you are unsure whether you are a “U.S. person.”
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