W

WebAI

Modular secure edge AI platform

AI Research Scientist

AI ResearchConfirmed live in the last 24 hours
Full-timeAustin, TX, USAHybrid

About the Job

Requirements

  • At least 4 years of experience in machine learning research, AI model development, or related fields; graduate research may count.
  • Expertise in deep learning architectures including transformers, convolutional neural networks, recurrent neural networks, and diffusion models.
  • Hands-on experience training and fine-tuning large-scale models.
  • Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Experience building datasets, designing experiments, and validating machine learning model performance.
  • Understanding of optimization techniques including quantization, distillation, pruning, and hardware-aware training.
  • Ability to work independently on complex research tasks.
  • Effective communication skills for presenting research findings to diverse audiences.
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.

Responsibilities

  • Design, train, and optimize machine learning models including large language models, multimodal models, transformers, and diffusion architectures.
  • Conduct research on model efficiency, quantization, compression, and on-device deployment.
  • Prototype novel model architectures, training methods, and inference strategies for distributed artificial intelligence.
  • Develop and evaluate benchmarks, datasets, and experimental frameworks to test model performance.
  • Collaborate with engineering teams to integrate research findings into production systems.
  • Stay current on leading research in deep learning, generative artificial intelligence, and distributed machine learning.
  • Analyze experimental results and communicate insights to technical and non-technical stakeholders.
  • Document research findings, contribute to internal papers, and present technical work across the organization.
  • Identify emerging technologies and propose research directions aligned with the company’s strategic priorities.

Desired Qualifications

  • Master’s or PhD in Machine Learning, Computer Science, artificial intelligence, or a related field.
  • Experience with distributed training, edge inference, or on-device machine learning.
  • Research experience in generative artificial intelligence, reinforcement learning, or multimodal learning.
  • Familiarity with privacy-preserving machine learning techniques such as federated learning.
  • Experience contributing to academic publications, patents, or open-source machine learning projects.

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

Recently Posted Jobs

Explore more opportunities at WebAI

See more jobs