Job Description
Join QuantumLeap Technologies at the forefront of technological evolution as we pioneer solutions for the challenges of 2026. We're seeking an innovative AI Research Scientist to develop groundbreaking machine learning models that will shape the future of autonomous systems, climate modeling, and personalized medicine. Our Austin-based R&D hub offers unparalleled resources and a collaborative environment where your work directly impacts global industries.
Why Join Us?
• State-of-the-art quantum computing infrastructure
• Patent support program for breakthrough innovations
• Annual innovation budget of $20K per researcher
• Flexible hybrid work arrangements
Responsibilities
- Design and implement advanced neural networks for predictive analytics in 2026-era applications
- Lead cross-functional teams in developing ethical AI frameworks for next-gen autonomous systems
- Collaborate with climate scientists to create AI models for environmental impact prediction
- Publish research in top-tier journals and present at global AI conferences
- Drive prototyping of real-time decision-making systems for healthcare applications
- Mentor junior researchers in cutting-edge ML techniques
- Secure external funding through NSF and DARPA grants
Qualifications
- PhD in Computer Science, AI, or related field (or equivalent experience)
- 5+ years in applied machine learning research with peer-reviewed publications
- Expertise in transformer architectures and reinforcement learning
- Proficiency in Python, TensorFlow/PyTorch, and distributed computing
- Demonstrated experience with quantum machine learning frameworks
- Strong background in ethical AI bias mitigation techniques
- Track record of translating research into commercial applications
- Excellent written and verbal communication skills