Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we architect the AI landscape of 2026. We're seeking visionary engineers to develop next-generation machine learning systems that will redefine human-machine interaction. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco hub, building solutions that will power autonomous ecosystems, predictive healthcare models, and quantum-encrypted neural networks. This isn't just a job—it's your opportunity to shape the future.
Responsibilities
- Design and implement scalable ML pipelines for real-time predictive analytics
- Architect hybrid AI systems combining classical ML and quantum computing principles
- Lead development of ethical AI governance frameworks for 2026 compliance
- Optimize neural networks for edge deployment in autonomous environments
- Conduct advanced research in explainable AI and federated learning
- Mentor cross-functional teams on emerging AI paradigms
Qualifications
- PhD in Computer Science/Machine Learning or equivalent experience
- 5+ years developing production-level ML systems at scale
- Expertise in PyTorch/TensorFlow and quantum ML frameworks (Cirq, Q#)
- Published research in top-tier AI conferences (NeurIPS, ICML)
- Deep understanding of AI ethics and regulatory landscapes
- Experience with MLOps and cloud-native ML deployment (AWS/GCP/Azure)