Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution as an AI Research Scientist. We're pioneering breakthroughs in quantum-enhanced machine learning and autonomous systems. Shape the future by solving complex problems in computational neuroscience and predictive analytics. Our Austin hub offers a collaborative environment where your innovations will directly impact industries from healthcare to aerospace.
What you'll experience:
- Cutting-edge research facilities with quantum computing access
- Competitive compensation and equity packages
- Flexible hybrid work arrangements
- Annual innovation sabbaticals
Responsibilities
- Design and implement novel AI algorithms for quantum-enhanced machine learning systems
- Lead research initiatives in predictive modeling and autonomous decision-making frameworks
- Collaborate with cross-functional teams to integrate research into production environments
- Publish findings in top-tier journals and present at global AI conferences
- Mentor junior researchers and develop next-generation AI talent pipelines
- Secure federal and private research grants for 2026-focused projects
- Drive ethical AI frameworks aligned with emerging regulatory standards
Qualifications
- PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
- 5+ years in advanced AI research with publications at NeurIPS/ICML/ICLR
- Expertise in quantum computing architectures and quantum machine learning
- Proficiency in Python, TensorFlow, PyTorch, and quantum programming frameworks
- Strong background in computational neuroscience and predictive analytics
- Demonstrated experience securing research grants ($500K+)
- Deep understanding of ethical AI frameworks and regulatory compliance