Job Description
Join QuantumLeap Labs at the forefront of technological innovation as we pioneer AI solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to develop breakthrough algorithms in quantum computing integration and neural network optimization. Our Austin hub offers state-of-the-art facilities and a collaborative environment where your research will directly shape humanity's digital future. Enjoy comprehensive benefits including equity, wellness stipends, and flexible work arrangements designed for peak productivity.
Responsibilities
- Design and implement novel machine learning architectures for quantum-classical hybrid systems
- Lead research initiatives in explainable AI and ethical algorithm development
- Collaborate with cross-functional teams to prototype AI-driven solutions for healthcare and climate modeling
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and foster a culture of experimental innovation
- Secure external funding through NSF and DARPA grant applications
Qualifications
- PhD in Computer Science, Mathematics, or related field with 3+ years post-doctoral experience
- Proven expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum computing APIs
- Published record in NeurIPS/ICML/AAAI with minimum 5 peer-reviewed papers
- Strong background in reinforcement learning and neural-symbolic integration
- Proficiency in high-performance computing environments (CUDA, Kubernetes)
- Demonstrated ability to translate research into production-ready solutions
- Experience with AI ethics frameworks and responsible AI governance