Job Description
Join QuantumLeap Labs at the forefront of technological evolution for 2026! We're seeking an innovative AI/ML Engineer to architect breakthrough solutions that will define the next generation of intelligent systems. Work alongside world-class researchers to transform cutting-edge algorithms into scalable products impacting industries from healthcare to autonomous systems. Our culture thrives on intellectual curiosity, rapid prototyping, and bold experimentation.
Why QuantumLeap?
- Pioneering work in quantum-AI hybrid computing
- Access to $50M R&D budget for 2026 initiatives
- Equity participation in patent-protected innovations
- Flexible hybrid work with global collaboration hubs
Responsibilities
- Design and implement production-grade ML pipelines for real-time inference systems
- Develop novel neural architectures for edge-quantum computing integration
- Lead cross-functional teams in deploying AI solutions across 5G/6G networks
- Optimize models for energy efficiency in distributed computing environments
- Contribute to open-source projects advancing ethical AI frameworks
- Collaborate with quantum computing teams on hybrid algorithm development
- Drive innovation in federated learning for privacy-preserving AI
Qualifications
- MS/PhD in Computer Science, AI, or related field (3+ years industry experience)
- Expertise in PyTorch/TensorFlow with 100M+ parameter model deployment
- Proven experience with quantum computing APIs (Qiskit, Cirq, or Braket)
- Strong background in MLOps (Kubeflow, MLflow, Airflow)
- Published research in top-tier AI/ML conferences (NeurIPS, ICML)
- Proficiency in C++ for high-performance computing optimization
- Familiarity with blockchain-based model verification systems