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Staff R&D AI Engineer

Summary by AIEngineer.careers

Staff R&D AI Engineer is a AI Research Engineer role (full-time). with webAI. in AUSTIN, US. Imported listing (source: destava.com). Apply on the employer's site (destava.com).

Imported listing (source: destava.com) · Apply on destava.com

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AUSTIN · US
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Full-time
STAFF
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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from destava.com

webAI is seeking a Staff R&D AI Engineer to lead development of vision-language-action models, reinforcement learning applications, and multimodal AI integration. The role requires deep expertise in computer vision and large language models, driving applied research toward production-grade AI systems.

Responsibilities

  • Lead development of vision-language-action (VLA) models
  • Design and implement reinforcement learning applications
  • Integrate multimodal AI capabilities across systems
  • Drive applied research from prototype to production

Requirements

  • Deep expertise in computer vision
  • Strong experience with large language models
  • Hands-on experience with reinforcement learning
  • Track record of leading AI research and development projects

Nice to Have

  • Experience with multimodal model training at scale
  • Prior staff or lead-level engineering experience

Tech Stack

Computer VisionLLMsMultimodal AIReinforcement LearningVision-Language-Action Models
W

webAI

Austin · US · 142+ employees

webAI is a private company founded in 2019 that operates a deployment platform intended to scale artificial intelligence algorithms across connected devices. The company's tool streamlines the training, deployment, and execution of AI models by offering a unified execution layer for AI that seamlessly integrates cloud-based services and local devices, improving the performance and accessibility of AI technologies. webAI aims to revolutionize the AI industry by laying the foundation for the development of Super Intelligence (SI) through heterogeneous AI execution.

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