Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're pioneering next-generation AI systems that will redefine human-machine interaction. Our elite research team develops autonomous intelligence platforms for Fortune 500 clients in healthcare, climate science, and space exploration. This is your chance to shape the future while working in our state-of-the-art San Francisco facility with unparalleled resources and mentorship from Nobel laureates.
We offer competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements. Our culture values bold innovation and psychological safety—where your wildest ideas become breakthroughs.
Responsibilities
- Design and implement cutting-edge ML algorithms for autonomous decision-making systems
- Lead cross-functional teams in developing ethical AI frameworks aligned with 2026 regulatory standards
- Publish breakthrough research in top-tier AI/ML conferences and journals
- Collaborate with quantum computing teams to hybridize classical and quantum ML models
- Architect scalable AI infrastructure supporting real-time multi-modal data processing
- Mentor junior researchers and drive technical excellence through peer reviews
- Translate theoretical innovations into production-ready solutions with 99.99% reliability
Qualifications
- PhD or MS in Computer Science/ML/AI with 5+ years industry experience
- Proven expertise in transformer architectures, federated learning, and reinforcement learning
- Published research at NeurIPS/ICML/ICLR with 1000+ citations
- Proficiency in PyTorch, TensorFlow, and quantum ML frameworks (PennyLane, Cirq)
- Experience deploying ML models at scale on AWS/GCP with MLOps best practices
- Strong background in causal inference and explainable AI methodologies
- Portfolio demonstrating end-to-end AI system development from research to production