Job Description
Join QuantumLeap Labs at the forefront of artificial intelligence innovation as we shape the technological landscape of 2026. We're seeking visionary AI Research Scientists to develop next-generation machine learning models that will redefine industries. Our dynamic team operates at the intersection of quantum computing and neural networks, pushing the boundaries of what's possible in autonomous systems and predictive analytics.
As a key member of our R&D division, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art facility overlooking the Bay. We offer unparalleled resources, including access to our 1024-qubit quantum simulator and petabyte-scale synthetic datasets. This is your opportunity to transform theoretical concepts into breakthrough applications that will impact billions of lives.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era autonomous systems
- Lead quantum-classical hybrid model development using proprietary tensor processing units
- Pioneer new reinforcement learning algorithms for multi-agent coordination
- Develop ethical AI frameworks ensuring alignment with human values
- Publish breakthrough research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Mentor junior researchers in emerging AI paradigms
- Collaborate with product teams to commercialize research outcomes
Qualifications
- PhD in Computer Science, Mathematics, or Physics with focus on AI/ML
- 5+ years of experience developing production-scale neural networks
- Expertise in quantum computing algorithms and quantum machine learning
- Proven track record of publishing at top-tier AI conferences
- Mastery of PyTorch/TensorFlow and distributed training frameworks
- Strong background in ethical AI development and bias mitigation
- Experience with large-scale model deployment (GPT-4+ scale)
- Ability to translate complex research into commercial applications