New York City
2 months ago

Job Overview

Job Type
FullTime
Pay
Not disclosed

Job description

Location:
New York City, United States
Work arrangement:
On-site

Machine Learning Engineer at Root Access in New York City, United States.

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).

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.

Role:
Machine Learning Engineer
Job Type:
FullTime

Company profile

Root Access

rootaccess.ai

Root Access is a frontier electronics company that designs and manufactures American-made electronics for drones and robots. Its products include cameras, LiDAR and depth sensors for machine perception; GPS, IMUs and time-of-flight modules for precise position, timing and heading; and Wi-Fi, Bluetooth and RF modules for coordinated swarming and reliable connectivity. Root Access is reshoring electronics design and manufacturing, and it is a startup in NYC funded by hardware investors with a team of electrical, firmware, software and machine learning engineers.

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