Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're seeking a visionary Senior AI Research Engineer to architect next-generation neural systems that will redefine human-machine interaction. Our interdisciplinary team pioneers breakthroughs in quantum-entangled machine learning and autonomous cognition. This role offers unparalleled opportunities to publish in Nature AI, lead patent filings, and shape the ethical framework for sentient AI development.
Located in our state-of-the-art San Francisco campus with panoramic Bay views, you'll collaborate with Nobel laureates and leverage our $50M quantum computing infrastructure. We provide competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements for optimal innovation velocity.
Responsibilities
- Design and implement novel neural architectures for 2026-era autonomous systems
- Lead cross-functional teams in developing quantum-enhanced ML pipelines
- Author peer-reviewed research on explainable AI and ethical cognition frameworks
- Translate theoretical models into production-grade systems using PyTorch/TensorFlow
- Secure $2M+ in government grants for futuristic AI safety initiatives
- Mentor junior researchers through our 'Future Leaders' program
- Represent QuantumLeap at global AI summits including 2026's Neural Convergence
Qualifications
- PhD in Machine Learning or Cognitive Science with 5+ years industry experience
- Published research in top-tier venues (NeurIPS, ICML, Nature AI)
- Expertise in quantum machine learning and neuromorphic computing
- Proficiency in Python/C++ with production-scale ML deployment
- Demonstrated ability to secure government research grants
- Strong background in AI ethics and regulatory compliance frameworks
- Experience leading teams of 10+ AI researchers in high-stakes environments