Senior Machine Learning Engineer

Freeform deploys software-defined, autonomous metal 3D printing factories worldwide, bringing software scalability to physical production.
$140,000 - $250,000
Machine Learning
Senior Software Engineer
In-Person
5+ years of experience
AI · Robotics

Description For Senior Machine Learning Engineer

Freeform is revolutionizing manufacturing with software-defined, autonomous metal 3D printing factories. As a Senior Machine Learning Engineer, you'll be at the forefront of developing advanced AI solutions for their cutting-edge technology. The role combines deep learning, physics modeling, and production automation, requiring expertise in pattern recognition and predictive modeling. You'll work on critical infrastructure and custom ML algorithms that enable high-quality, automated metal 3D printing at scale.

The position offers an exciting opportunity to solve complex problems in physical AI applications, working with a collaborative team in their 35,000 square foot facility in Hawthorne, CA. You'll be responsible for developing sophisticated data models, integrating physics-based simulations, and creating learning frameworks for quality control and machine health monitoring.

The compensation package is highly competitive, ranging from $140,000 to $250,000, plus significant equity options. Benefits include full medical coverage, 401(k), relocation assistance, and various lifestyle perks. The company values diversity and maintains an inclusive culture focused on data-driven decision-making.

This role is perfect for someone who combines strong technical ML expertise with an interest in physical applications, offering the chance to be an early member of a rapidly growing company that's transforming manufacturing through AI and automation. No prior 3D printing experience is required - they're looking for smart, motivated engineers who excel at solving challenging problems.

Last updated a month ago

Responsibilities For Senior Machine Learning Engineer

  • Design and develop data models used for model predictive control in metal 3D printing system
  • Integrate data models and physics-based models into unified simulation framework
  • Develop deep learning framework for modeling laser melting printing technology physics
  • Develop unsupervised learning algorithms to correlate data with printed part quality
  • Develop methods to correlate process data with geometric features
  • Work with simulation engineers on data models for thermo-mechanical response prediction
  • Develop learning modules for machine health monitoring
  • Deploy data science algorithms in production software
  • Guide development of big data infrastructure for production printing data
  • Develop data models for end-to-end automation of metal 3D printing platform

Requirements For Senior Machine Learning Engineer

Python
MongoDB
Cassandra
  • Bachelor's degree in computer science, applied mathematics, machine learning, data science, or similar
  • 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 related to physics or physical world

Benefits For Senior Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Relocation Benefits
Parental Leave
Equity
  • 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 lunch and dinner
  • Fully stocked kitchenette
  • Casual dress
  • Flexible work hours
  • Regular catered team building events

Interested in this job?

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