Job Description
Join Quantum Leap Labs at the forefront of 2026's AI revolution! We're seeking visionary AI Research Scientists to pioneer next-generation autonomous systems and quantum-inspired algorithms. Shape the future by solving complex challenges in machine learning, neural networks, and human-computer interaction. Our Austin hub offers cutting-edge resources, collaborative innovation pods, and unparalleled growth opportunities. If you thrive at the intersection of theory and practice, this is your moment to redefine what's possible.
Responsibilities
- Architect and implement advanced AI models for autonomous decision-making systems
- Lead cross-functional R&D projects integrating quantum computing principles with neural networks
- Develop proprietary algorithms for real-time data processing and predictive analytics
- Collaborate with hardware teams to optimize AI-quantum hardware interfaces
- Publish groundbreaking research in top-tier AI journals and conferences
- Mentor junior researchers while maintaining thought leadership in emerging AI domains
Qualifications
- PhD in Computer Science, AI, or related field (or equivalent breakthrough research)
- Expertise in deep learning frameworks (TensorFlow/PyTorch) and quantum computing basics
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
- Proven track record of scaling ML systems to enterprise-level complexity
- Strong background in reinforcement learning and generative adversarial networks
- Experience with distributed computing and high-performance optimization
- Ability to translate theoretical concepts into practical, scalable solutions