Job Description
Join QuantumLeap Technologies at the forefront of artificial intelligence innovation. We're seeking visionary AI/ML Engineers to architect transformative solutions that will define technological landscapes through 2026 and beyond. As a key member of our Future Innovations Lab, you'll collaborate with Nobel laureates and industry pioneers to push the boundaries of machine learning, neural networks, and quantum-adjacent computing.
Why QuantumLeap? We offer unparalleled R&D resources, equity in breakthrough patents, and a culture that rewards intellectual curiosity. Our San Francisco campus features state-of-the-art quantum computing labs and neuro-interfaces – where tomorrow's innovations become today's reality.
Responsibilities
- Design and implement next-gen AI/ML pipelines for quantum-enhanced data processing
- Lead research in adaptive neural networks and self-optimizing ML systems
- Develop ethical AI frameworks for autonomous decision-making in 2026+ ecosystems
- Collaborate with cross-functional teams to deploy AI solutions at edge and cloud scales
- Architect ML systems capable of real-time processing of exabyte-scale datasets
- Contribute to open-source projects advancing human-AI symbiosis
- Present findings at global AI summits including NeurIPS and ICML 2026
Qualifications
- PhD or MS in Computer Science/AI with 5+ years in production ML systems
- Expertise in PyTorch/TensorFlow and quantum computing frameworks (Qiskit/Cirq)
- Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Proficiency in distributed ML at petabyte scale (Kubernetes, Spark)
- Experience with neuromorphic computing and brain-computer interfaces
- Strong background in ethical AI alignment and bias mitigation
- Portfolio demonstrating deployment of real-time AI systems in production
- Fluency in Python, C++, and emerging quantum programming languages