Job Description
Join QuantumLeap Technologies at the forefront of 2026's AI revolution. We're pioneering next-generation neural networks that will redefine human-computer interaction. As our AI Research Scientist, you'll architect breakthrough algorithms in quantum machine learning while collaborating with Nobel laureates in our state-of-the-art Silicon Valley lab.
This role offers unparalleled opportunities to publish in top-tier journals and contribute to patents that will shape the next decade of technological advancement. Our team operates on a 4-day work week with unlimited R&D budget and equity in a pre-IPO unicorn.
Responsibilities
- Design and implement novel quantum-enhanced ML architectures for real-time data processing
- Lead cross-functional teams in deploying AI solutions at edge computing nodes
- Develop ethical AI frameworks aligned with 2026 regulatory standards
- Publish 2+ peer-reviewed papers annually in Nature/Science journals
- Secure $500K+ in annual research grants through proposal development
- Mentor PhD interns in advanced neural network optimization techniques
- Collaborate with hardware teams on quantum-accelerated computing prototypes
Qualifications
- PhD in Computer Science, Quantum Physics, or related field with 5+ years industry experience
- Published record in top-tier ML conferences (NeurIPS, ICML) or journals
- Expertise in quantum machine learning frameworks (Qiskit, Cirq)
- Proficiency in PyTorch/TensorFlow with distributed training optimization
- Proven track record of translating research into production-scale systems
- Strong background in ethical AI governance frameworks
- Experience securing government/industry research funding
- Portfolio of open-source contributions with 1K+ GitHub stars