Job Description
Join QuantumLeap Systems at the forefront of 2026's technological revolution! We're seeking an AI/ML Engineer to architect next-generation solutions that will redefine industries. As a pioneer in quantum-entangled machine learning, you'll collaborate with Nobel laureates and disruptors to build autonomous systems that solve humanity's grandest challenges. Our San Francisco hub offers unparalleled resources, including a 7,000 sq ft quantum computing lab and unlimited professional development. If you're ready to shape the future and earn industry-leading compensation, this is your moment.
Responsibilities
- Design and deploy production-level ML models using quantum-enhanced algorithms
- Lead cross-functional teams to develop AI solutions for healthcare, climate modeling, and space exploration
- Optimize neural networks for edge computing in 6G infrastructure
- Implement ethical AI frameworks ensuring bias mitigation and transparency
- Architect federated learning systems across decentralized quantum networks
- Contribute to open-source quantum ML libraries with 10k+ GitHub stars
- Mentor junior engineers through our proprietary 'FutureTech Accelerator' program
Qualifications
- PhD in Machine Learning, Quantum Computing, or related field (or equivalent experience)
- 5+ years building production AI systems at FAANG or unicorn startups
- Expertise in Python, TensorFlow, PyTorch, and quantum frameworks like Qiskit
- Published research in top-tier AI conferences (NeurIPS, ICML, or ICLR)
- Experience with distributed ML on quantum cloud platforms (AWS Braket, IBM Quantum)
- Portfolio demonstrating end-to-end AI projects with measurable societal impact
- Certification in Quantum Machine Learning from MIT or equivalent