Job Description
Join QuantumLeap Dynamics at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to develop cutting-edge machine learning models that will redefine industries. Our Austin-based hub offers unparalleled resources and collaborative environments where your ideas can transform into reality. Benefit from competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier journals.
Responsibilities
- Design and implement advanced neural network architectures for next-gen autonomous systems
- Lead cross-functional teams to translate research prototypes into scalable production models
- Develop novel algorithms for quantum-classical hybrid computing optimization
- Collaborate with hardware engineers to co-design AI-accelerated computing platforms
- Publish high-impact research in peer-reviewed journals and top-tier conferences
- Secure external funding through government grants and industry partnerships
- Mentor junior researchers and foster an innovative lab culture
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years industry experience
- Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
- Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent
- Strong background in reinforcement learning and generative modeling
- Experience with quantum computing APIs (Qiskit, Cirq) or neuromorphic systems
- Proficiency in Python, C++, and high-performance computing environments
- Demonstrated ability to translate complex research into practical applications