Job Description
Join QuantumLeap's elite 2026 Innovation Lab to architect next-generation AI systems that will redefine industries. We're seeking visionary engineers to pioneer breakthrough solutions in quantum-enhanced machine learning, autonomous decisioning, and predictive analytics. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility, where we're building the intelligent infrastructure for 2026 and beyond. This role offers unparalleled opportunities to shape the future of AI while working on projects with global impact.
Responsibilities
- Design and implement scalable ML pipelines for real-time data processing and model deployment
- Lead R&D in quantum-entangled neural networks and hybrid quantum-classical algorithms
- Develop ethical AI frameworks ensuring bias mitigation and regulatory compliance
- Create autonomous systems predictive of market shifts and technological disruptions
- Architect cloud-native solutions leveraging quantum computing resources
- Mentor junior researchers and publish findings in top-tier AI journals
Qualifications
- PhD in Computer Science/AI or equivalent with 5+ years of ML engineering experience
- Expertise in Python, TensorFlow, PyTorch, and quantum computing frameworks (Qiskit, Cirq)
- Proven track record deploying production ML systems handling >10TB data volumes
- Published research in NeurIPS/ICML/AAAI or equivalent tier conferences
- Strong background in differential privacy, federated learning, and adversarial ML
- Experience with MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS/GCP)
- Ability to translate complex theoretical concepts into practical implementations