Job Description
Join QuantumLeap Labs at the forefront of technological evolution! We're pioneering breakthroughs in quantum computing and AI systems that will redefine industries by 2026. As an AI Research Scientist, you'll collaborate with Nobel laureates and visionary engineers to develop next-generation neural networks and quantum algorithms. Our Austin campus features state-of-the-art labs and a culture where curiosity fuels innovation.
We offer competitive equity packages, flexible work arrangements, and professional development budgets for conferences like NeurIPS and ICML. Shape the future of artificial intelligence while working on projects that could solve humanity's greatest challenges.
Responsibilities
- Design and implement novel deep learning architectures for quantum-enhanced systems
- Lead cross-functional teams in developing AI solutions for healthcare and climate modeling
- Publish research in top-tier journals (Nature AI, Science Robotics) and present at global conferences
- Mentor junior researchers and PhD candidates in advanced machine learning techniques
- Collaborate with hardware engineers to optimize AI-quantum hybrid systems
- Secure $2M+ in annual research grants from NSF and DARPA
- Contribute to open-source frameworks that advance the global AI research community
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years of postdoctoral research
- Proven expertise in transformer architectures, reinforcement learning, and quantum machine learning
- Published work in top-tier AI/ML conferences (NeurIPS, ICML, CVPR)
- Proficiency in PyTorch, TensorFlow, and quantum computing frameworks (Qiskit, Cirq)
- Strong background in distributed computing and high-performance GPU clusters
- Demonstrated ability to secure competitive research funding
- Experience mentoring researchers and leading technical projects
- Passion for ethical AI development and responsible innovation