Job Description
Shape the future at QuantumLeap Labs as a 2026 AI Research Scientist. We're pioneering breakthroughs in generative AI and quantum computing, seeking visionary minds to develop next-generation autonomous systems. Join our elite R&D team in Austin's thriving tech ecosystem, where your work will directly impact how humanity interacts with intelligent machines. Enjoy competitive benefits, cutting-edge resources, and collaboration with Nobel laureates in our state-of-the-art facility.
As a cornerstone of our 2026 initiative, you'll lead projects that redefine computational boundaries. This hybrid role offers flexible scheduling while maintaining rigorous research standards. We're committed to fostering innovation through dedicated R&D time and industry-leading conference participation.
Responsibilities
- Design and implement novel neural architectures for quantum-enhanced machine learning models
- Lead research initiatives in autonomous decision-making systems with ethical safeguards
- Collaborate with hardware teams to optimize AI algorithms for quantum processors
- Publish breakthrough findings in top-tier journals and present at global AI conferences
- Mentor junior researchers and establish best practices for reproducible AI experiments
- Secure federal and private research funding through compelling grant proposals
- Develop patentable solutions for real-world deployment in healthcare and logistics
Qualifications
- PhD in Computer Science, Quantum Physics, or related field with 5+ years industry experience
- Published research in Nature/Science or equivalent peer-reviewed AI journals
- Expertise in PyTorch/TensorFlow with quantum computing frameworks (Qiskit, Cirq)
- Proven track record of deploying production-grade AI systems at scale
- Deep understanding of quantum machine learning principles and variational algorithms
- Strong background in ethical AI frameworks and bias mitigation techniques
- Experience securing DARPA or NSF research grants exceeding $1M