Vice President, Robotics Learning

Job Title: Vice President Robotics Learning

Department: Executive Office / AI, Robotics & Autonomous Intelligence Strategy

Reporting to: Chief Executive Officer / Chief Technology Officer

Location: San Francisco, California / Hybrid Office

Company Introduction

VisionEdge AI Imaging is a blockchain-enabled artificial intelligence and robotics technology company focused on advancing machine learning, autonomous systems, and decentralized intelligence infrastructure.

Headquartered in San Francisco with a global innovation footprint, VisionEdge AI Imaging operates at the intersection of AI, robotics, and blockchain technology, developing next-generation learning systems that enable machines to perceive, adapt, and act in complex real-world environments.

By integrating robotics learning models, computer vision, decentralized data frameworks, and secure blockchain protocols, VisionEdge AI Imaging builds intelligent systems that are scalable, transparent, and resilient. The company partners with enterprises, research institutions, and technology platforms to accelerate adoption of autonomous solutions across industries including logistics, healthcare, finance, and advanced manufacturing.

Through its blockchain-enabled architecture, VisionEdge AI Imaging enables secure data exchange, decentralized model training, and verifiable AI decision-making, positioning itself at the forefront of trustworthy and scalable autonomous intelligence.

As part of its strategic growth, VisionEdge AI Imaging is establishing San Francisco as its global hub for AI innovation, robotics learning, and ecosystem development—driving leadership in next-generation intelligent systems.

VisionEdge AI Imaging envisions a future where AI-powered machines learn continuously, operate autonomously, and interact securely within decentralized digital ecosystems.

Job Overview

The Vice President, Robotics Learning will serve as a senior executive leader responsible for defining and executing VisionEdge AI Imaging’s robotics learning strategy, AI capability development, and autonomous systems roadmap.

Reporting directly to the CEO and CTO, this role will lead all aspects of robotics learning—including machine learning frameworks, autonomous decision systems, model training pipelines, and integration with blockchain-based infrastructure—ensuring alignment with the company’s long-term technology vision and growth objectives.

The VP will play a critical role in advancing VisionEdge AI Imaging’s position as a leader in AI-driven robotics and decentralized intelligence, enabling scalable innovation across both enterprise and platform ecosystems.

The ideal candidate brings deep expertise in AI, robotics, machine learning, or autonomous systems, with a proven ability to build and scale advanced technical teams and deliver real-world intelligent systems in complex environments.

Key Responsibilities

Robotics Learning Strategy & AI Architecture

Lead and define VisionEdge AI Imaging’s global robotics learning and autonomous intelligence strategy.

Design scalable machine learning architectures for robotics perception, decision-making, and control systems.

Drive integration of AI models with blockchain-based data validation and decentralized learning frameworks.

Establish long-term technical vision for adaptive, self-improving robotic systems.

Machine Learning & Autonomous Systems Development

Oversee development of advanced ML models, including reinforcement learning, computer vision, and multi-agent systems.

Lead end-to-end AI lifecycle: data ingestion, training, validation, deployment, and continuous learning.

Ensure robustness, scalability, and real-time performance of autonomous systems in production environments.

Drive innovation in edge AI, simulation environments, and real-world deployment pipelines.

Blockchain Integration & Decentralized Intelligence

Integrate blockchain protocols to enable secure, auditable, and decentralized AI training and data exchange.

Develop frameworks for verifiable AI decision-making and trust-enhanced automation.

Explore tokenized incentives for distributed data contribution and model training ecosystems.

Collaborate with blockchain engineering teams to align infrastructure with AI system requirements.

Innovation, Research & Thought Leadership

Position VisionEdge AI Imaging as a leader in robotics learning, AI infrastructure, and decentralized intelligence.

Drive research initiatives, publications, and partnerships with academic and research institutions.

Represent the company at AI, robotics, and blockchain conferences and forums.

Translate advanced technical concepts into strategic insights for stakeholders and partners.

Growth Strategy & Ecosystem Development

Support expansion of VisionEdge AI Imaging’s AI and robotics capabilities across industries and global markets.

Build strategic partnerships with technology providers, enterprises, and research ecosystems.

Enable platform scalability through modular AI frameworks and ecosystem integration.

Collaborate with product and commercial teams to align AI capabilities with market opportunities.

Data-Driven Development & Performance Optimization

Establish KPIs and performance benchmarks for AI model accuracy, efficiency, and scalability.

Leverage data pipelines, simulation, and feedback loops to continuously improve system performance.

Optimize resource utilization across compute, data, and model infrastructure.

Align AI development with measurable business and product outcomes.

Leadership & Organizational Development

Build, lead, and mentor a high-performance AI and robotics engineering organization.

Foster collaboration across AI, blockchain, product, and infrastructure teams.

Develop technical leadership pipelines and scalable team structures.

Promote a culture of innovation, experimentation, and engineering excellence.

Qualifications

20+ years of progressive experience in AI, robotics, machine learning, or autonomous systems leadership roles.

Proven success in building and scaling advanced AI/robotics platforms in complex environments.

Strong expertise in machine learning frameworks, robotics systems, and AI infrastructure.

Experience integrating AI with distributed systems, cloud platforms, or blockchain technologies preferred.

Demonstrated ability to lead cross-functional technical teams and deliver production-grade systems.

PhD or Master’s degree in Computer Science, Robotics, AI, Engineering, or related field strongly preferred.

Core Competencies

AI & Robotics Leadership: Builds scalable intelligent systems and autonomous learning frameworks.

Technical Strategy & Execution: Translates advanced research into real-world applications.

Decentralized Systems Thinking: Integrates blockchain with AI to enhance trust and scalability.

Innovation & Research Excellence: Drives cutting-edge advancements in AI and robotics.

Data-Driven Engineering: Optimizes performance through metrics, experimentation, and iteration.

Leadership & Collaboration: Inspires high-performance technical teams and cross-functional alignment.

Benefits

Competitive executive compensation with performance-based incentives.

Eligibility for equity participation and long-term incentive programs.

Comprehensive health, insurance, and retirement benefits.

Hybrid work model with San Francisco headquarters.

Opportunities to represent VisionEdge AI Imaging at global AI, robotics, and blockchain conferences.

Expected Outcomes (12–18 Months)

Establish VisionEdge AI Imaging as a recognized leader in robotics learning and decentralized AI systems.

Deliver production-grade autonomous intelligence platforms with measurable real-world impact.

Build a scalable AI and robotics organization aligned with long-term technology strategy.

Drive innovation in blockchain-integrated AI systems and decentralized learning ecosystems.