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WebAI

Modular secure edge AI platform

AI Research Scientist

AI ResearchConfirmed live in the last 24 hours
Full-timeAustin, TX, USANo salary listedIn-person

About the Job

Requirements

  • At least 5 years of postdoctoral or industrial research experience, or equivalent university experience, with a track record of publications or significant model releases.
  • Mastery of linear algebra, calculus, and probability, and deep proficiency in Python and deep learning frameworks.
  • A PhD in Machine Learning, Mathematics, Physics, or a highly quantitative field.

Responsibilities

  • Design and train novel architectures, including Transformers, State-Space Models, and Diffusion, to solve complex business problems.
  • Lead hypothesis testing by defining evaluation benchmarks and loss functions aligned with human intent.
  • Stay current with research published on arXiv and presented at academic conferences such as NeurIPS, ICML, and CVPR, and implement or improve upon the latest research.
  • Build proof-of-concept models demonstrating significant improvements in accuracy, speed, or reasoning capability.
  • Document findings and mentor engineers on the mathematical nuances of the models.
  • Collaborate with research leadership and applied AI teams to advance scientific discovery and translate innovations into real-world impact.

About the Company

WebAI

Modular secure edge AI platform

WebAI provides a modular, secure Deep Learning Platform designed for research, distributed deployment, and enterprise AI, optimized for edge computing with limited connectivity. Clients collect, train, and deploy neural networks autonomously through a subscription-based suite of AI tools, with optional custom model development and deployment support. It differentiates itself with edge-friendly operation, low data requirements, robust security, and a modular architecture that easily integrates with existing systems. Its goal is to make advanced AI accessible to a broad audience while delivering reliable, enterprise-grade solutions for industries like healthcare, finance, and manufacturing.

Company size
51-200
Company stage
Series A
Total funding
$77M
Headquarters
Austin, TX
Founded
2020

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