Senior Machine Learning Engineer at Freeform

Los Angeles, California, United States

Freeform Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
3D Printing, Manufacturing, Additive ManufacturingIndustries

Requirements

  • 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

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

Skills

Machine Learning
Deep Learning
Predictive Modeling
Pattern Recognition
Data Science
Model Predictive Control
Physics-based Modeling
Unsupervised Learning
Simulation Frameworks
Laser Melting
3D Printing

Freeform

3D metal printing for manufacturing solutions

About Freeform

Freeform Future Corp specializes in 3D metal printing technology aimed at the manufacturing industry. Their process allows for the production of metal parts at a significantly reduced cost and time compared to traditional manufacturing methods. This technology serves a diverse clientele, from small businesses to large corporations, by simplifying the metal printing process and making it accessible to various industries. What sets Freeform apart from its competitors is its focus on speed and cost efficiency, enabling clients to produce parts quickly and affordably. The company's goal is to transform the manufacturing landscape by providing a reliable and efficient solution for metal parts production.

Los Angeles, CaliforniaHeadquarters
2019Year Founded
$57.4MTotal Funding
EARLY_VCCompany Stage
Industrial & Manufacturing, AI & Machine LearningIndustries
11-50Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
401(k) Retirement Plan
401(k) Company Match
Relocation Assistance
Paid Vacation
Paid Sick Leave
Paid Holidays
Parental Leave
Family Planning Benefits
Fertility Treatment Support
Significant Stock Options
Flexible Work Hours
Unlimited Paid Time Off
Wellness Program
Mental Health Support
Gym Membership
Phone/Internet Stipend
Home Office Stipend

Risks

Emerging competition from companies like Desktop Metal threatens market share.
Potential patent disputes with companies aggressively protecting intellectual property.
Supply chain vulnerabilities in metal powders could disrupt production.

Differentiation

Freeform offers software-defined, self-sufficient metal 3D printing factories globally.
Their technology combines advanced sensing, real-time controls, and data-driven learning.
Freeform provides digitally-verified, flawless parts at unprecedented speeds and costs.

Upsides

Increased adoption of digital twins enhances 3D printing integration in manufacturing.
On-demand manufacturing services create opportunities for flexible, customized 3D printing solutions.
AI-driven design optimization enables production of complex, lightweight metal parts.

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