We believe quantum computing offers a path through these bottlenecks. As an ML Research Scientist, you'll work at the frontier of generative modeling and quantum acceleration, developing the theoretical foundations and practical implementations that connect these fields. You'll identify where quantum approaches can provide genuine advantage in generative workflows—not incremental improvements, but structural speedups rooted in the mathematics of these models.

What You'll Work On

Generative Model Architecture & Efficiency

• 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

Quantum-Classical Integration

• 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

Research to Production

• 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

You May Be a Good Fit If You

• Have deep expertise in diffusion probabilistic models, score matching, or related generative methods
• Understand the mathematical foundations: SDEs, ODEs, Langevin dynamics, probability flow
• Are experienced with ML frameworks (PyTorch, JAX) and efficient inference implementation
• Question assumptions and validate with rigor, following interesting threads wherever they lead
• Communicate complex ideas clearly across research communities
• Are excited to work on problems no one has solved before

Strong Candidates May Have

• Published research on diffusion models, score-based generation, or neural ODE/SDE methods
• Experience optimizing sampling efficiency (DDIM, DPM-Solver, consistency models, etc.)
• Familiarity with numerical methods for differential equations
• Understanding of quantum algorithms and computational complexity
• Background in high-dimensional probability or stochastic processes

How We’re Different

At Sygaldry, curiosity and intellectual courage drive our work. We approach ambitious challenges with a grounded, optimistic, and rigorous culture and know that kind people build the strongest teams. We prioritize mission over ego and collaborate openly with a strong sense of shared purpose. We dream big, yet we execute with a love of detail. We’re looking for scientists, engineers, and operators to forge new paths with us at the intersection of quantum and AI.

Culture & Benefits

• Visa Sponsorship - We know what it takes to make top talent thrive here. We’re open to supporting visas whenever possible.
• Compensation - We value your contribution and invest in your future with a competitive salary and meaningful equity.
• Benefits - Your well-being matters. We provide company-sponsored health coverage to give you and your family peace of mind.
• Connection - Whether it’s company offsite or casual crew socials, we make time to connect, recharge, and have fun together.
• Time Off - We trust you to take the time you need. Unlimited PTO so you can rest, recharge, and come back ready to make an impact.

We encourage applications from candidates with diverse backgrounds. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

We encourage you to apply even if you do not believe you meet every single qualification. If you don’t think this role is right for you, but you believe that you would have something meaningful to to contribute to our mission, please reach out at letsbuild@sygaldry.com