Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. Our Austin-based Innovation Lab seeks visionary AI Research Scientists to develop next-generation neural networks and autonomous systems that will redefine human-machine interaction. This role offers unparalleled opportunities to collaborate with Nobel laureates and industry disruptors while working in a state-of-the-art facility equipped with quantum computing infrastructure.
We provide comprehensive benefits including equity grants, flexible hybrid work arrangements, and dedicated R&D budgets for personal projects. Our culture emphasizes intellectual curiosity and rapid prototyping in an environment where 80% of your time is dedicated to high-impact research.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era autonomous systems
- Lead cross-functional research initiatives integrating quantum computing with classical AI
- Publish breakthrough findings in top-tier journals (NeurIPS, ICML) and industry whitepapers
- Develop ethical frameworks for AI deployment in regulated industries
- Prototype and validate solutions in our 5G/6G testbed environment
- Mentor junior researchers and collaborate with academic partners
Qualifications
- PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
- 5+ years of experience in neural network research with proven publications
- Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
- Strong background in reinforcement learning or federated learning
- Experience with quantum computing APIs (Qiskit, Cirq) preferred
- Portfolio of deployed AI systems handling >10M daily transactions
- Authorization to work in the United States without sponsorship