Job Description
Join QuantumLeap Systems at the forefront of technological innovation as we build the AI infrastructure for 2026. We're seeking visionary engineers to develop next-generation machine learning solutions that will redefine industries. Our collaborative environment combines cutting-edge research with practical application, offering unparalleled opportunities to shape the future of artificial intelligence.
Why QuantumLeap?
- Work with industry pioneers in quantum computing integration
- Access to $50M R&D budget for experimental AI projects
- Equity participation in our 2026 product roadmap
- Flexible hybrid work with state-of-the-art labs
Responsibilities
- Architect and deploy scalable ML pipelines for autonomous systems
- Develop generative AI models for 2026-era applications
- Optimize neural networks for quantum-accelerated computing
- Lead cross-functional teams in implementing ethical AI frameworks
- Contribute to 3+ patents annually in emerging AI domains
- Maintain 99.99% uptime for mission-critical AI infrastructure
- Mentor junior engineers in next-gen ML paradigms
Qualifications
- PhD in Computer Science or equivalent experience with 5+ years in AI/ML
- Expertise in PyTorch/TensorFlow with production-level model deployment
- Published research in top-tier AI conferences (NeurIPS, ICML)
- Proficiency in quantum computing APIs (Qiskit, Cirq)
- Experience with MLOps tools (Kubeflow, MLflow)
- Strong background in reinforcement learning and federated learning
- Demonstrated ability to lead high-impact technical projects
- Portfolio showcasing 2026-forward AI implementations