Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution for 2026. We're pioneering autonomous AI systems that will redefine industries worldwide. As an AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop next-generation neural networks while shaping the ethical framework for tomorrow's digital landscape. Our state-of-the-art lab in San Francisco offers unmatched resources to transform theoretical breakthroughs into revolutionary applications.
This isn't just a job—it's your chance to build the future. Enjoy flexible hybrid work, unlimited learning stipends, and equity in a company valued at $2B+. We're committed to fostering diversity and innovation where your ideas become global standards.
Responsibilities
- Design and implement cutting-edge deep learning architectures for autonomous decision-making systems
- Lead cross-functional teams to prototype AI solutions for healthcare, climate modeling, and space exploration
- Publish 2+ peer-reviewed papers annually in top-tier AI conferences (NeurIPS, ICML)
- Develop ethical frameworks for AI governance aligned with 2026 regulatory standards
- Mentor junior researchers while optimizing MLOps pipelines for billion-parameter models
- Secure $1M+ in annual research grants through DARPA and NSF partnerships
Qualifications
- PhD in Computer Science, Mathematics, or Physics with 5+ years of AI research experience
- Published work on transformer architectures or reinforcement learning at NeurIPS/ICML
- Expertise in PyTorch/TensorFlow with ability to train 10B+ parameter models
- Proficiency in quantum computing fundamentals and neuromorphic hardware
- Track record of translating research into commercial products (patents preferred)
- Experience with federated learning and zero-shot generalization techniques
- Strong background in AI ethics and bias mitigation frameworks