Job Description
Join QuantumLeap Labs at the forefront of 2026's AI revolution. We're seeking a visionary AI Research Scientist to architect next-generation machine learning systems that will redefine human-computer interaction. As a key member of our innovation hub in San Francisco, you'll collaborate with Nobel laureates and industry pioneers to develop quantum-resistant algorithms and ethical AI frameworks. This role offers unparalleled resources to publish groundbreaking research in top-tier journals and translate theoretical breakthroughs into commercial applications.
Our state-of-the-art facility provides access to 10,000+ GPU clusters and quantum computing simulators, enabling you to explore uncharted territories in generative AI and neural-symbolic integration. You'll mentor PhD candidates and lead cross-functional teams while contributing to projects with global impact across healthcare, climate science, and autonomous systems.
Responsibilities
- Design and implement novel neural architectures for 2026-era AI applications
- Lead research initiatives in quantum machine learning and zero-knowledge AI systems
- Develop ethical frameworks for autonomous decision-making algorithms
- Collaborate with hardware engineers to optimize AI for next-gen quantum processors
- Publish 3+ peer-reviewed papers annually in top-tier conferences (NeurIPS, ICML, ICLR)
- Mentor PhD researchers and cross-functional product teams
- Translate theoretical breakthroughs into production-ready AI solutions
- Secure $2M+ in annual research funding through grant proposals
Qualifications
- PhD in Computer Science, Mathematics, or related field with focus on ML/AI
- 5+ years of industry research experience with top-tier publications
- Expertise in transformer architectures, diffusion models, and reinforcement learning
- Proficiency in PyTorch, TensorFlow, and distributed computing frameworks
- Strong background in quantum computing principles or cryptography
- Demonstrated success in securing competitive research grants
- Experience with ethical AI frameworks and bias mitigation techniques
- Track record of commercializing research through patents or products