Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we pioneer solutions that will define 2026 and beyond. We're seeking an AI Research Scientist to architect the next generation of intelligent systems that will reshape industries. In this role, you'll collaborate with Nobel laureates and industry disruptors to transform theoretical breakthroughs into scalable innovations. Our state-of-the-art facility in San Francisco's innovation district offers unparalleled resources to accelerate your research.
This position represents a rare opportunity to influence the technological trajectory of the coming decade while enjoying competitive compensation and unparalleled professional growth. If you're passionate about solving humanity's most complex challenges through artificial intelligence, this is your moment to make history.
Responsibilities
- Design and implement cutting-edge AI models for autonomous systems and predictive analytics
- Lead cross-functional research initiatives targeting 2026 technological milestones
- Publish breakthrough findings in top-tier journals and industry conferences
- Collaborate with engineering teams to translate research into production-ready solutions
- Secure and manage multi-million dollar research grants from government and private sector
- Mentor junior researchers and foster innovation through quarterly hackathons
- Develop ethical frameworks for next-generation AI deployment
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years of research experience
- Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum computing principles
- Strong background in reinforcement learning and generative adversarial networks
- Demonstrated ability to secure federal research grants (NSF/DARPA)
- Experience with MLOps and large-scale distributed computing systems
- Published work on ethical AI bias mitigation techniques
- Exceptional problem-solving skills for unsolved technical challenges