About the Role

QpiAI works at the intersection of AI and Quantum Computing, developing groundbreaking solutions to tackle some of the most complex challenges across various industries. Our team is dedicated to pushing the boundaries of innovation and delivering exceptional results to our enterprise clients, driving significant impact.

We are seeking an exceptional Quantum AI Researcher to join our leadership team. This role will focus on advancing our Quantum AI breakthroughs through rigorous experimentation, coming with new AI training methods using Quantum principles, new AI modelling using Quantum methodologies, and Quantum machine learning library development. Quantum Agentic systems will be part of our Quantum machine learning libraries. Apart from making breakthrough research successful, you are expected to file multiple patents, enhance the QpiAI IP portfolio, and provide thought leadership to the AI community

Key Responsibilities

To lead a team of highly skilled Quantum AI researchers
To provide the CEO with the latest update on Quantum AI research
To provide a Quantum AI roadmap and present it to the key management team
Create and curate high-quality Quantum datasets for training and evaluating Quantum AI systems across various domains
Establish comprehensive evaluation frameworks to measure system performance, robustness, and alignment using NISQ and FTQC systems
Research and implement Quantum Machine learning libraries
Collaborate with cross-functional teams to translate research findings into practical applications
Stay current with the latest advancements in Quantum AI research and contribute to the research community
Document methodologies, findings, and best practices for internal knowledge sharing

Qualifications

PhD or postdoc in AI, Quantum machine learning, or related technical field
10+ years of experience in AI research
Strong mathematical foundations in optimization, probability theory, and linear algebra
Extensive expertise in Python programming and software development
Strong proficiency in PyTorch or JAX for implementing and scaling AI models
Experience in curating Quantum datasets, pre-training, and Quantum AI models
Experience with Quantum computers
Experience training Quantum machine learning models
Familiarity with various alignment methods and value learning techniques
Experience with Quantum dataset curation, cleaning, and augmentation for diverse Quantum AI tasks
Strong understanding of Quantum ML model evaluation metrics and methodology development
Excellent communication skills and ability to present complex technical concepts clearly

Vice President of Quantum Artificial Intelligence