Job Description
Join QuantumLeap Innovations at the forefront of 2026's technological revolution. We're pioneering breakthroughs in quantum computing and neural networks that will redefine human-computer interaction. As an AI Research Scientist, you'll architect solutions for autonomous systems, predictive analytics, and next-generation machine learning models. Our Austin campus features state-of-the-art labs and collaborative spaces where your ideas can shape the future.
Responsibilities
- Develop novel AI algorithms for real-time data processing and predictive modeling
- Lead research initiatives in quantum machine learning applications
- Collaborate with cross-functional teams to deploy AI solutions in production environments
- Author peer-reviewed publications and patents for breakthrough innovations
- Mentor junior researchers and present findings at industry conferences
- Design scalable neural architectures for edge computing systems
- Stay current with emerging AI trends and regulatory frameworks
Qualifications
- PhD in Computer Science, Mathematics, or related field with 5+ years research experience
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum computing principles
- Published record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Proficiency in Python, C++, and high-performance computing environments
- Demonstrated ability to translate theoretical research into practical applications
- Strong background in reinforcement learning and generative models
- Experience with distributed computing systems (Kubernetes, Spark)