Job Description
Shape the future of artificial intelligence at QuantumLeap Technologies. We're seeking a visionary Senior AI Research Engineer to pioneer breakthroughs in generative AI and neural networks. Join our elite team in San Francisco's tech epicenter, where you'll collaborate with Nobel laureates and industry disruptors. This role offers unparalleled resources to develop next-generation AI systems that will redefine human-computer interaction by 2026.
Our state-of-the-art lab in downtown San Francisco provides access to quantum computing clusters, petabyte-scale datasets, and unlimited GPU infrastructure. We offer equity packages, unlimited PTO, and relocation assistance for exceptional candidates. This is your opportunity to work on projects that will impact billions of lives.
Responsibilities
- Lead research and development of novel AI algorithms for autonomous systems and natural language processing
- Design scalable neural architectures capable of real-time inference on edge devices
- Collaborate with quantum computing teams to develop hybrid AI-quantum models
- Publish findings in top-tier journals (Nature, Science, NeurIPS) and present at international conferences
- Mentor junior researchers and drive technical strategy for the AI division
- Secure $5M+ in government and industry grants for advanced AI research
- Develop ethical frameworks for responsible AI deployment in critical infrastructure
Qualifications
- PhD in Computer Science, Machine Learning, or related field (or equivalent industry experience)
- 5+ years of experience developing production-level AI systems at scale
- Proven expertise in transformer architectures, reinforcement learning, and distributed ML
- Publication record at top-tier AI conferences (NeurIPS, ICML, ICLR)
- Proficiency in Python, PyTorch, and cloud AI platforms (AWS SageMaker, GCP AI)
- Experience with MLOps pipelines and model deployment at scale
- Demonstrated ability to lead cross-functional technical teams
- Strong background in computational physics or quantum information theory preferred