Remote Geometry & ML Scientist for CAD/CAE

Foundationllm

Boston (MA)

On-site

USD 10,000 - 140,000

Full time

14 days+
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Benefits offered by this job

Equity participation
Comprehensive benefits package
Retirement savings benefits
Generous paid time off
Professional development opportunities
Home office support

Job summary

Foundationllm is a Boston-based startup focusing on an AI Copilot for design and manufacturing. They seek a qualified developer to design and maintain geometry processing algorithms and build services for 2D and 3D engineering data.

The role demands over 5 years of experience in relevant areas like Machine Learning and Geometric Processing. It offers a remote-first environment with comprehensive benefits, including equity participation and learning opportunities.

Qualifications

  • 5+ years of academic or industry experience in relevant fields.
  • Proficient in writing clean, modular, maintainable Python code.
  • Experience with dataset creation and data pipeline development.
  • PhD or MS with focus in Computational Design, Simulation, or AI.

Responsibilities

  • Design and maintain geometry processing algorithms.
  • Build services for 2D/3D engineering data.
  • Develop rendering modules for visual assets.
  • Curate large-scale datasets for learning-based systems.

Skills

Geometric Processing
Simulation
Optimization
Machine Learning
Domain-Specific Languages
Python programming

Education

BSc or MSc in Computer Science, Engineering, or a related field

Tools

CAD software
CAM software
CAE software
Large language models (LLMs)

Job description

Foundationllm is a Boston-based startup focusing on an AI Copilot for design and manufacturing. They seek a qualified developer to design and maintain geometry processing algorithms and build services for 2D and 3D engineering data.

The role demands over 5 years of experience in relevant areas like Machine Learning and Geometric Processing. It offers a remote-first environment with comprehensive benefits, including equity participation and learning opportunities.

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