Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution. We're seeking visionary AI Research Scientists to pioneer breakthroughs in generative AI, quantum machine learning, and neural network optimization. Our Austin-based innovation hub offers unparalleled resources to transform theoretical concepts into real-world applications that will shape the next decade.
As a key member of our Future Technologies Division, you'll collaborate with Nobel laureates, work on bleeding-edge quantum computing platforms, and publish research in top-tier journals. We offer competitive equity packages, flexible remote options, and a culture that celebrates intellectual curiosity and bold experimentation.
Responsibilities
- Lead research initiatives in generative AI models and quantum machine learning algorithms
- Develop novel neural network architectures for next-generation autonomous systems
- Collaborate with hardware teams to optimize AI performance on quantum processors
- Publish peer-reviewed research and present findings at international conferences
- Mentor junior researchers and build cross-functional innovation pipelines
- Secure government and private research grants for frontier AI projects
Qualifications
- PhD in Computer Science, Mathematics, or Physics with focus on quantum/AI
- 5+ years of experience in machine learning research with publications at NeurIPS/ICML
- Expertise in Python, TensorFlow, and quantum programming frameworks
- Proven track record of developing novel neural network architectures
- Strong background in quantum computing principles and algorithms
- Experience securing research grants and managing academic partnerships