Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer breakthrough AI systems for 2026. We're seeking visionary AI Research Scientists to develop next-generation machine learning models that will redefine industry standards. Collaborate with world-class engineers in our state-of-the-art San Francisco lab and contribute to projects that will shape the future of artificial intelligence.
Our ideal candidate thrives at the intersection of theoretical innovation and practical application, with a passion for solving complex problems that will impact billions of lives. Enjoy competitive compensation, cutting-edge resources, and the opportunity to leave an indelible mark on the technological landscape.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era applications
- Lead research initiatives in quantum-enhanced machine learning algorithms
- Develop scalable AI solutions for autonomous systems and human-AI collaboration
- Publish breakthrough research in top-tier AI/ML conferences and journals
- Mentor junior researchers and foster cross-functional innovation
- Collaborate with product teams to translate research into real-world impact
- Stay ahead of emerging AI trends and ethical considerations
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years industry experience
- Expertise in PyTorch/TensorFlow and distributed computing frameworks
- Published record in NeurIPS/ICML/ICLR or equivalent tier conferences
- Strong background in reinforcement learning and neural architecture search
- Proficiency in Python, C++, and high-performance computing environments
- Experience with MLOps pipelines and production AI systems
- Demonstrated ability to lead complex research projects from concept to deployment