Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI Research Scientist to architect breakthrough neural networks and quantum-inspired algorithms that will redefine human-machine collaboration. In this pivotal role, you'll collaborate with Nobel laureates and venture-backed startups to deploy generative AI models that solve global challenges in climate modeling, personalized medicine, and autonomous systems. Your work will directly shape the infrastructure powering the next decade's most disruptive innovations.
Responsibilities
- Design and implement next-gen AI architectures using transformer models and reinforcement learning frameworks
- Lead cross-functional R&D initiatives in quantum-ML fusion and neuromorphic computing
- Publish top-tier research at NeurIPS/ICML while filing patents for proprietary algorithms
- Develop ethical AI governance frameworks for 2026 deployment standards
- Mentor PhD candidates and interns in advanced machine learning methodologies
- Translate theoretical research into production-ready solutions with 99.9% uptime SLAs
- Collaborate with policy advisors to shape global AI safety regulations
Qualifications
- PhD in Computer Science, Machine Learning, or Quantum Physics with 5+ years industry experience
- Proven track record of deploying production-grade generative models (GPT-4, Gemini, Claude)
- Expertise in PyTorch/TensorFlow and distributed computing on AWS/GCP
- Published research at top-tier conferences (ICML, NeurIPS, ICLR) or equivalent impact
- Deep understanding of quantum computing principles and quantum machine learning
- Experience with MLOps pipelines and CI/CD for AI systems
- Strong background in ethical AI alignment and bias mitigation techniques
- Ability to secure $1M+ research grants and lead international research consortia