Job Description
Join QuantumLeap Systems at the forefront of technological evolution as we architect the intelligent infrastructure for 2026 and beyond. We're seeking visionary AI/ML Engineers to develop next-generation autonomous systems that will redefine industries. In this pivotal role, you'll collaborate with Nobel laureates and industry pioneers to transform theoretical breakthroughs into scalable solutions.
Our state-of-the-art San Francisco campus offers unparalleled resources including quantum computing labs and neural network testbeds. This is your opportunity to shape human-computer interaction paradigms and contribute to projects that will impact billions of lives.
Responsibilities
- Design and implement cutting-edge AI/ML models for autonomous decision-making systems
- Architect neural networks capable of predictive adaptation to emerging technological paradigms
- Develop ethical frameworks for AI governance and bias mitigation in high-stakes environments
- Create real-time learning systems that evolve with technological advancements
- Collaborate with quantum computing teams to hybridize classical and quantum AI approaches
- Lead R&D initiatives for human-AI symbiotic interfaces
- Publish breakthrough research in top-tier AI conferences and journals
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expertise in transformer architectures, reinforcement learning, and federated learning
- Proven track record deploying production-grade ML systems at scale (>10M users)
- Proficiency in PyTorch, TensorFlow, and distributed computing frameworks
- Deep understanding of quantum machine learning principles
- Published research in NeurIPS, ICML, or equivalent tier conferences
- Experience with ethical AI frameworks and bias mitigation techniques
- Ability to translate complex theoretical concepts into practical implementations