Job Description
Join Quantum Leap Dynamics at the forefront of technological evolution. We're pioneering solutions for 2026's most critical challenges in AI ethics, quantum computing integration, and autonomous systems. As an AI/ML Engineer, you'll architect intelligent systems that shape tomorrow's digital landscape while maintaining human-centric values.
Our San Francisco hub offers unparalleled resources to develop cutting-edge AI frameworks. You'll collaborate with Nobel laureates and industry disruptors in an environment where innovation thrives. We provide generous equity, flexible work arrangements, and dedicated R&D budgets for breakthrough projects.
Responsibilities
- Design and implement scalable ML pipelines for next-gen autonomous systems
- Develop ethical AI governance frameworks aligned with 2026 regulatory standards
- Lead quantum-classical hybrid computing research initiatives
- Create explainable AI models for high-stakes decision-making systems
- Optimize neural architectures for edge computing deployment
- Drive responsible AI adoption through bias mitigation frameworks
- Mentor junior engineers in emerging AI paradigms
Qualifications
- PhD in Computer Science/AI or equivalent practical experience
- Expertise in PyTorch/TensorFlow with 5+ years production ML deployment
- Published research in top-tier AI/ML conferences (NeurIPS, ICML)
- Proficiency in quantum computing programming (Qiskit, Cirq)
- Strong background in ethical AI development and auditing
- Experience with MLOps platforms (Kubeflow, MLflow)
- Contributions to open-source AI frameworks