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# Research Scientist- Geometry & Machine Learning

- **Company:** REMOTE
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** 3D Visualization, Artificial Intelligence, Big Data, Compilers, Computer Graphics, Python (Programming Language), Machine Learning, Software Tools, Reinforcement Learning, Large Language Models, Discretization, Information Technology, Software Coding, Data Pipelines, AI Co-pilot
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_d4d372adec4195779737d1650c7898f1

## About the Role

REQUIRED: MUST have experience with Code Development. Applicants will not be considered without this experience.About Us:We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process., We're looking for someone who's strong technically, especially in Python and ML, but also has the curiosity to dig into how things are designed and built in the real world. You might come from a research background or industry but either way you're comfortable moving between theory and practical application. If you've spent time around mechanical systems or engineering design, that's a big plus, because a lot of this role is about bridging that gap between advanced models and how engineers actually work day to day., * 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.

 * BSc or MSc in Computer Science, Engineering, or a related field.
 * Proficient in writing clean, modular, and maintainable Python code.
 * Experience with dataset creation and data pipeline development.
 * PhD or MS with a focus in Computational Design, Simulation, or AI.
 * Experience developing CAD/CAM/CAE software tools.
 * Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning.
 * Experience designing or implementing DSLs or compilers.

This range represents base compensation only and is intended to provide flexibility for candidates with varying levels of experience, expertise and demonstrated impact. Final compensation will be determined based on factors including skills, experience, location,and overall alignment with the role.

## Description

* Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
 * Build services for reading, processing, and writing 2D/3D engineering data.
 * Develop rendering modules for generating 2D/3D visual assets.
 * Curate and manage large-scale datasets for learning-based systems.
 * Implement and optimize post-training workflows for machine learning models.
 * Contribute to the development of domain-specific languages for engineering tasks.