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Lead Staff R&D AI Engineer

WebAIAustin, TX
On-site Full-time $200K/yr - $400K/yr

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Experience Level

Mid to Senior

Qualifications

Key Responsibilities:Design and develop Vision-Language-Action (VLA) models that seamlessly incorporate visual perception, natural language understanding, and action prediction. Architect and implement reinforcement learning systems for sequential decision-making, focusing on policy learning and skill acquisition. Construct and optimize computer vision pipelines for perception tasks such as object detection, segmentation, tracking, and scene understanding. Develop and refine large language models for applications involving instruction following, reasoning, and task planning. Implement RLHF (Reinforcement Learning from Human Feedback) systems to enhance model alignment and safety. Create multimodal training pipelines utilizing both synthetic and real-world data to ensure robust model performance. Research and prototype novel AI architectures that integrate vision, language, and action learning. Collaborate with engineering teams to embed AI models into applications and assess performance across diverse domains. Optimize model inference performance for real-time applications across edge computing environments.

About the job

About Us:

At WebAI, we are pioneering the first distributed AI infrastructure focused on personalized artificial intelligence. In a world increasingly driven by data, we recognize the need for scalable and flexible solutions. Our vision is to create a future where AI is decentralized, enabling real-time data processing at the edge, right where data is generated. We aim to ensure that a company's data and intellectual property remain private while facilitating the deployment of large models directly to consumer hardware without compromising data security.

Role Overview:
As a Lead Staff R&D AI Engineer, you will spearhead the development of innovative AI systems that merge computer vision, natural language processing, and action learning. Your expertise will be instrumental in designing and implementing Vision-Language-Action (VLA) models, enhancing reinforcement learning applications, and advancing the integration of multimodal AI technologies. This position requires a robust background in both computer vision and large language models, coupled with practical experience in reinforcement learning, to develop intelligent systems capable of understanding, reasoning, and interacting with complex environments. You will lead research projects, mentor technical teams, and transform groundbreaking AI research into real-world applications across varied sectors.

About WebAI

WebAI is at the forefront of creating a distributed AI infrastructure that addresses the demands of a data-centric society. Our commitment to privacy and real-time processing ensures that our innovative solutions empower businesses while keeping their data secure.

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