Job Description
Join QuantumLeap Technologies at the forefront of 2026's AI revolution! We're seeking a visionary AI Research Scientist to pioneer breakthroughs in quantum-computing-adjacent machine learning. Shape the future of autonomous systems, generative AI, and predictive analytics in our state-of-the-art Austin lab. You'll collaborate with Nobel laureates and disrupt industries with your research, while enjoying unparalleled professional growth in a culture that celebrates intellectual curiosity.
Your Impact:
- Lead cross-disciplinary research initiatives merging quantum computing with classical ML
- Develop patent-pending algorithms for next-gen autonomous decision-making
- Present findings at premier AI conferences (NeurIPS, ICML, etc.)
- Mentor PhD candidates and publish in top-tier journals
- Shape our 2026 research roadmap with C-suite leadership
Responsibilities
- Design and implement novel deep learning architectures for quantum-accelerated inference
- Lead end-to-end research projects from hypothesis to production deployment
- Collaborate with robotics and NLP teams to integrate research into commercial products
- Secure federal and private research grants ($5M+ target)
- Publish 2-4 peer-reviewed papers annually in Q1 venues
- Develop ethical frameworks for next-gen autonomous systems
- Represent QuantumLeap at global AI summits and industry forums
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with 5+ years research experience
- Published record in NeurIPS/ICML/CVPR with h-index >20
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Proficiency in PyTorch/TensorFlow with custom accelerator integration
- Proven ability to translate research into commercial applications
- Strong background in ethical AI governance and bias mitigation
- Experience securing government grants (NSF, DARPA, etc.)