Job Description
Join QuantumLeap Dynamics at the forefront of innovation as we pioneer breakthrough AI solutions for 2026 and beyond. We seek an exceptional AI Research Scientist to architect next-generation neural networks and redefine human-machine collaboration. This role offers unparalleled access to cutting-edge infrastructure and cross-functional teams building the future of autonomous systems and quantum-optimized algorithms. Shape the next wave of technological evolution while working in Austin's vibrant tech ecosystem.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era applications
- Lead research in quantum-enhanced machine learning and hybrid AI systems
- Collaborate with hardware engineers to optimize AI for next-gen computing platforms
- Publish breakthrough research in top-tier AI/ML conferences and journals
- Mentor junior researchers and drive innovation in agile R&D sprints
- Develop ethical frameworks for autonomous decision-making systems
- Translate theoretical models into scalable production-ready solutions
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years industry experience
- Proven expertise in transformer architectures, reinforcement learning, and NLP
- Strong publication record at NeurIPS/ICML/ICLR or equivalent venues
- Proficiency in PyTorch/TensorFlow and distributed training frameworks
- Experience with quantum computing concepts (Qiskit, Cirq) preferred
- Demonstrated ability to lead complex research projects from ideation to deployment
- Deep understanding of AI ethics, bias mitigation, and responsible innovation
- Exceptional problem-solving skills with mathematical maturity