Machine Learning Engineer

root-access· Engineering
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📍 New York CityFullTime

About this role

About the company
Root Access is a frontier electronics company. We are a NYC-based startup funded by top investors. Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning.

Core Responsibilities

  • Architect Physics Foundation Models: Design and train deep learning models.

  • Build the ECAD Data Pipeline: Develop high-performance asset pipelines to convert geometric, discrete, and multi-layer PCB files (ODB++, IPC-2581, STEP, Gerber) into continuous space data.

  • Multi-Modal Architecture Integration: Collaborate on connecting upstream Graph Neural Networks (GNNs) or LLMs mapping schematic topologies to downstream spatial physics engines.

  • Optimize for Real-Time Execution: Optimize training and inference pipelines on GPU clusters.


Required Technical Skills & Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Mathematics, EE, Physics, or a related quantitative field with a focus on Scientific Machine Learning (SciML).

  • Deep Learning Frameworks: 4+ years of expert-level experience with PyTorch or JAX.

  • SciML Expertise: Direct, hands-on experience building and training PINNs, FNOs, etc.

  • Mathematical Depth: Exceptional understanding of partial differential equations (PDEs), vector calculus, automatic differentiation (autograd), and numerical optimization algorithms (Adam, L-BFGS).

  • Data Pipelines: Strong proficiency in manipulating spatial or geometric datasets using Python libraries (NumPy, SciPy, Shapely, Open3D, or custom voxelization matrices).

Frequently Asked Questions

Is the salary disclosed for the Machine Learning Engineer position at root-access?
The salary for this Machine Learning Engineer role at root-access is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Machine Learning Engineer position at root-access located?
This Machine Learning Engineer role at root-access is based in New York City. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Machine Learning Engineer role at root-access full-time or part-time?
This is listed as a FullTime position. It is posted as a Machine Learning Engineer role in the Engineering department at root-access.
Which team or department does the Machine Learning Engineer at root-access belong to?
This Machine Learning Engineer position is part of the Engineering department at root-access. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Machine Learning Engineer position at root-access?
Click the "Apply Now" button on this page. You will be redirected to root-access's official application portal hosted on ashby where you can submit your application directly.
When was the Machine Learning Engineer job at root-access posted?
This Machine Learning Engineer position at root-access was posted on Jul 10, 2026. Apply as soon as possible — early applications are often reviewed first.
Machine Learning Engineer
root-access
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