ML Research Scientist - Quantum Accelerated Generative Models

Initialized Capital is focused on advancing AI through quantum technologies. As an ML Research Scientist, you will develop theoretical and practical implementations that connect generative modeling with quantum acceleration, addressing computational bottlenecks and enhancing efficiency in AI applications.

Responsibilities:

• Advance state-of-the-art diffusion and score-based generative models
• Analyze computational bottlenecks in sampling, denoising, and likelihood estimation
• Develop and benchmark novel solver methods for diffusion ODEs/SDEs
• Identify mathematical structures in generative models amenable to quantum speedup
• Prototype hybrid workflows where quantum subroutines accelerate classical pipelines
• Rigorously benchmark theoretical versus practical advantage in realistic workloads
• Translate research insights into scalable implementations
• Collaborate with quantum hardware teams to inform architecture requirements
• Build systems that make quantum-accelerated generation accessible to practitioners