Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution as an AI Research Scientist. We're pioneering next-generation artificial intelligence solutions that will redefine industries and human capabilities. This role offers unparalleled opportunities to work with Nobel laureates, publish in top-tier journals, and shape the future of autonomous systems and quantum computing integration.
Our state-of-the-art San Francisco campus features immersive labs, collaborative think tanks, and direct access to groundbreaking projects in neural-symbolic AI and ethical algorithm development. We provide comprehensive benefits including equity, wellness stipends, and continuous learning programs valued at $25,000 annually.
Responsibilities
- Lead research initiatives in explainable AI and federated learning systems
- Develop novel algorithms for quantum-enhanced machine learning models
- Collaborate with cross-functional teams to prototype AI solutions for healthcare and climate tech
- Author peer-reviewed publications and present findings at global AI conferences
- Mentor junior researchers and contribute to our open-source AI frameworks
- Ensure compliance with emerging AI governance frameworks and ethical standards
Qualifications
- PhD in Computer Science, Machine Learning, or related field (or equivalent research experience)
- 5+ years of experience in deep learning frameworks (PyTorch/TensorFlow)
- Published research in top-tier venues (NeurIPS, ICML, Nature AI)
- Expertise in reinforcement learning and multi-agent systems
- Strong background in computational neuroscience or quantum computing
- Proficiency in high-performance computing environments and distributed systems
- Demonstrated ability to translate research into commercial applications