Job Description
Join QuantumLeap Technologies at the forefront of 2026's technological revolution. We're seeking visionary AI/ML Engineers to architect transformative solutions that will define the next decade of innovation. Our state-of-the-art lab in San Francisco offers unparalleled resources to develop autonomous systems, quantum-optimized algorithms, and next-gen neural networks. This isn't just a role—it's your chance to shape humanity's digital future while collaborating with Nobel laureates and industry pioneers.
We offer competitive equity packages, flexible hybrid work, and dedicated R&D budgets for personal innovation projects. Our teams operate on a 4-day workweek with unlimited PTO, ensuring peak creativity and work-life harmony.
Responsibilities
- Design and implement quantum-optimized machine learning models for autonomous systems
- Lead cross-functional teams to develop ethical AI frameworks for 2026 regulatory compliance
- Create neural architectures capable of real-time adaptation to edge computing environments
- Develop proprietary NLP systems processing 10TB+ daily multilingual data streams
- Architect federated learning networks across global quantum computing infrastructure
- Mentor junior engineers in emerging paradigms like neuromorphic computing
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with 5+ years industry experience
- Published research in top-tier AI/ML conferences (NeurIPS, ICML) or equivalent impact
- Expertise in PyTorch/TensorFlow with quantum computing integration experience
- Proficiency in developing LLMs with >100B parameter architectures
- Deep understanding of ethical AI frameworks and bias mitigation techniques
- Experience with distributed computing frameworks (Ray, Dask) at petabyte scale
- Portfolio showcasing production-level autonomous systems or quantum-ML applications