Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution as an AI Research Scientist. We're pioneering breakthroughs in quantum-enhanced machine learning and neural network optimization. In this role, you'll architect next-generation AI systems that redefine industry boundaries while collaborating with Nobel laureates and Turing Award winners. Our state-of-the-art lab offers unparalleled resources for research breakthroughs, with 20% dedicated time for exploratory projects and patent development.
Enjoy competitive equity packages, flexible hybrid work arrangements, and access to our exclusive innovation incubator program. We're committed to your professional growth through $15,000 annual education stipends and conference sponsorships for top-tier AI symposiums.
Responsibilities
- Design and implement quantum-inspired neural architectures for 2026-era computing environments
- Lead cross-functional research teams in developing novel AI optimization algorithms
- Publish findings in top-tier journals (Nature, Science, NeurIPS) and present at global AI conferences
- Collaborate with product teams to translate research into commercial applications
- Secure research grants and partnerships with leading academic institutions
- Mentor junior researchers and foster innovation through internal hackathons
- Contribute to open-source AI frameworks with 5M+ developer communities
Qualifications
- PhD in Computer Science, Quantum Computing, or related field with 3+ years industry experience
- Published research in top-tier AI/ML conferences (ICML, CVPR, ACL) with h-index >20
- Expertise in transformer architectures, reinforcement learning, and quantum machine learning
- Proficiency in Python, TensorFlow/PyTorch, and quantum programming frameworks (Qiskit, Cirq)
- Proven track record of developing production-scale AI systems serving >1M users
- Strong background in distributed computing and high-performance optimization
- Excellent communication skills with ability to articulate complex concepts to diverse audiences