Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-machine interaction, and we need visionary researchers to lead this charge. As an AI Research Scientist, you'll architect breakthrough solutions in quantum-enhanced machine learning and autonomous systems, working with Nobel Prize-winning mentors in our state-of-the-art Austin lab. This role offers unparalleled opportunities to publish at NeurIPS/ICML and influence the future of AI ethics and scalability.
Our dynamic culture combines academic rigor with entrepreneurial spirit, offering flexible schedules, unlimited learning stipends, and equity participation in our moonshot projects. Shape the decade's most transformative technologies while enjoying Texas's vibrant tech ecosystem.
Responsibilities
- Lead research in quantum-entangled neural networks for 2026-era autonomous systems
- Develop novel algorithms for ethical AI alignment and bias mitigation frameworks
- Collaborate with quantum computing teams to prototype hybrid AI-quantum models
- Author 3+ peer-reviewed publications annually in top-tier AI/ML venues
- Mentor PhD interns and cross-functional engineering teams on research implementation
- Secure $500K+ in annual research grants through NIH/NSF partnerships
- Present findings at global conferences like AI for Good Summit 2026
Qualifications
- PhD in Computer Science/AI with 5+ years in quantum machine learning research
- Publication record in NeurIPS/ICML/AAAI with 20+ citations per paper average
- Expertise in PyTorch Quantum and IBM Quantum Experience frameworks
- Proven experience with federated learning and differential privacy
- Proficiency in high-performance computing (HPC) and GPU/TPU optimization
- Strong background in computational ethics and AI governance frameworks
- Track record of translating research into production-grade systems