Job Description
Join Quantum Leap Labs at the forefront of 2026's technological revolution! We're pioneering AI systems that will redefine industries by the end of the decade. As an AI/ML Engineer, you'll architect cutting-edge solutions leveraging quantum computing principles and neural network innovations. Collaborate with Nobel laureates and disruptors in our state-of-the-art San Francisco lab, where we're building autonomous systems that learn, adapt, and evolve beyond current limitations.
This role offers unparalleled opportunity to shape the next generation of artificial intelligence while working with 10x computing resources and exclusive access to our proprietary quantum datasets. Your work will directly impact how humanity interacts with technology in the 2026 horizon.
Responsibilities
- Design and implement quantum-enhanced ML models for predictive analytics and autonomous decision-making
- Lead development of neural networks capable of self-evolving architectures
- Create AI systems that adapt to quantum computing environments
- Collaborate with cross-disciplinary teams to integrate 2026-era IoT and edge computing
- Research and implement novel optimization algorithms for quantum-classical hybrid systems
- Develop ethical frameworks for autonomous AI decision-making
- Architect scalable solutions for real-time data processing in 5G+ networks
Qualifications
- PhD in Computer Science, AI, or Quantum Computing (or equivalent experience)
- 5+ years building production ML systems with quantum computing exposure
- Expertise in TensorFlow/PyTorch and quantum programming languages (Qiskit, Cirq)
- Published research in top-tier AI conferences (NeurIPS, ICML) post-2020
- Experience with neuromorphic computing and brain-inspired architectures
- Proficiency in developing ethical AI governance frameworks
- Strong background in federated learning and distributed quantum systems