Job Description
Join QuantumLeap Technologies as we pioneer the next wave of AI-driven solutions for 2026 and beyond. We're seeking visionary AI/ML Engineers to architect intelligent systems that will redefine industries. At QuantumLeap, you'll collaborate with Nobel Prize-winning researchers in our state-of-the-art San Francisco lab, working on quantum-optimized machine learning models and neural network innovations. Enjoy unparalleled benefits including unlimited PTO, $10k annual learning stipend, and equity in a unicorn-backed startup.
Responsibilities
- Design and deploy scalable ML pipelines for autonomous systems and predictive analytics
- Develop quantum-enhanced AI algorithms for real-time decision-making
- Lead cross-functional teams in prototyping next-gen neural architectures
- Optimize models for edge computing and distributed quantum networks
- Contribute to ethical AI frameworks and bias mitigation strategies
- Publish research in top-tier AI journals and conferences
Qualifications
- PhD in Computer Science/AI or equivalent experience with 5+ years ML engineering
- Expertise in PyTorch/TensorFlow and distributed computing frameworks
- Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Experience with quantum computing APIs (Qiskit, Cirq) or quantum-inspired ML
- Strong background in reinforcement learning and generative adversarial networks
- Proven ability to translate business requirements into technical solutions
- Contributions to open-source AI projects with 1k+ GitHub stars