Job Description
Shape the future as a pioneering AI Research Scientist at QuantumLeap Labs, where we're redefining human-machine collaboration for the 2026 horizon. Join our elite team to develop cutting-edge neural networks and quantum-inspired algorithms that will power next-generation autonomous systems and predictive analytics. We offer unparalleled resources, collaborative research environments, and the opportunity to publish breakthrough papers in top-tier journals.
Our state-of-the-art facility in San Francisco's Tech District provides flexible workspaces, dedicated innovation labs, and partnerships with leading universities. Benefit from comprehensive health coverage, equity packages, and continuous learning stipends to ensure you remain at the forefront of AI evolution.
Responsibilities
- Design and implement novel deep learning architectures for autonomous decision-making systems
- Lead cross-functional teams in developing quantum-resistant AI frameworks
- Translate complex research prototypes into scalable production solutions
- Collaborate with hardware engineers to optimize AI-quantum computing interfaces
- Author peer-reviewed publications and present findings at global AI conferences
- Drive ethical AI initiatives aligned with 2026 regulatory frameworks
- Mentor junior researchers and foster innovative research culture
Qualifications
- PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
- 5+ years of hands-on experience with transformer models and reinforcement learning
- Published record in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
- Expertise in PyTorch/TensorFlow and distributed computing frameworks
- Strong background in quantum computing principles or neuromorphic systems
- Proven ability to translate research into industry applications
- Experience leading cross-disciplinary technical teams