Freeform - Senior Machine Learning Engineer

AI Engineer is needed in Los Angeles, United States.

Client: Freeform

Location: Los Angeles, CA

Contract: undefined

Job Description

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 leverage your experience in advanced pattern recognition, predictive modeling techniques, and deep learning algorithms, particularly as they relate to physics or the physical world. You will design, develop, and integrate critical data science infrastructure and create custom machine learning algorithms from scratch. Your solutions will enable us to scale production-quality, fully-automated metal 3D printing factory architecture. As a key member of the engineering team, you will drive innovation, maximize development speed, and maintain a high standard of excellence within the team.

3D printing experience is not required; we seek smart, motivated, collaborative engineers who enjoy solving hard problems and creating amazing technology!

Responsibilities

• Design and develop data models 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 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
• Collaborate 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 in developing the big data infrastructure for collecting and processing production printing data
• Develop data models for end-to-end automation of the advanced metal 3D printing platform

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 in 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 relating 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 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

• We are located in Hawthorne, CA, in a state-of-the-art facility, featuring large open spaces for team collaboration, R&D, and production, with easy access to major freeways. Our facility is part of Los Angeles’ vibrant emerging tech ecosystem, alongside 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 provide a unique opportunity to be an early member of a rapidly growing company scaling a world-changing technology.
• Benefits include:
• Significant stock option packages
• 100% employer-paid Medical, Dental, and Vision insurance
• Life insurance
• Traditional and Roth 401(k)
• Relocation assistance
• Paid vacation, sick leave, and company holidays
• Generous Paid Parental Leave
• Free daily catered meals
• Casual dress, flexible work hours, and regular team-building events
• Compensation details:
• Salary range is intentionally wide due to the growth stage of the company, with the estimated range being $140,000-$250,000, inclusive of all levels within this discipline.
• Freeform is an Equal Opportunity Employer that values diversity based on merit, competence, and qualifications.