Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're pioneering quantum-resistant AI systems that will redefine cybersecurity and machine learning. As an AI Research Engineer, you'll architect next-generation neural networks and collaborate with Nobel laureates to solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture where curiosity fuels innovation.
Responsibilities
- Design and implement cutting-edge AI models using PyTorch and TensorFlow
- Develop quantum-resistant encryption algorithms for secure data transmission
- Lead cross-functional teams in prototyping autonomous systems
- Publish research in top-tier AI journals and conferences
- Optimize computational efficiency for edge computing applications
- Mentor junior researchers and foster collaborative innovation
- Translate theoretical breakthroughs into scalable production solutions
Qualifications
- PhD in Computer Science, AI, or related field (or equivalent experience)
- 5+ years in advanced ML/NLP development with Python/C++
- Expertise in quantum computing principles and quantum-resistant cryptography
- Proven track record of publishing in NeurIPS/ICML/ICLR
- Experience with distributed computing frameworks (Spark, Kubernetes)
- Strong background in reinforcement learning and generative models
- Ability to secure government-level security clearances (if required)
- Passion for ethical AI development and responsible innovation