Job Description
Join QuantumLeap Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI Research Scientist to develop cutting-edge machine learning models that will redefine industries. Collaborate with world-class engineers in a dynamic environment where innovation thrives. Your work will directly impact autonomous systems, quantum computing interfaces, and next-generation human-AI collaboration frameworks. We offer competitive equity, flexible hybrid work, and unparalleled professional growth opportunities in Austin's vibrant tech ecosystem.
Responsibilities
- Design and implement novel deep learning architectures for predictive analytics and autonomous decision-making
- Lead research in quantum-AI hybrid systems to accelerate computational breakthroughs
- Develop ethical AI frameworks ensuring responsible deployment by 2026 standards
- Collaborate with cross-functional teams to prototype and validate AI solutions
- Publish research in top-tier conferences and contribute to open-source initiatives
- Mentor junior researchers and drive innovation through hackathons and R&D sprints
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years industry experience
- Expertise in PyTorch/TensorFlow and distributed computing frameworks
- Published research in NeurIPS/ICML or equivalent top-tier conferences
- Strong background in reinforcement learning and neural architecture search
- Experience deploying ML models at scale in cloud environments (AWS/GCP/Azure)
- Deep understanding of quantum computing principles and their AI applications
- Proficiency in Python, C++, and high-performance optimization techniques