# Machine Learning Engineer

- Company: [Root Access](<https://jobstar.asia/company/root-access>)
- Location: New York City
- Team: Engineering
- Employment type: Full Time
- Posted: July 10, 2026

## Job description

**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).

## Apply

[Apply on Root Access](<https://jobs.ashbyhq.com/root-access/2f6ce424-fc4f-436a-9493-7fb74aff9017>)

Canonical job page: <https://jobstar.asia/job/machine-learning-engineer-root-access-new-york-city-1d0a9016168245b5>