ML Research Scientist Quantum Accelerated Generative Models

About Sygaldry

Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference. Our AI servers will address the problem of rising compute and energy costs for scaling AI enabling companies to innovate faster and more affordably. Sygaldry AI servers combine multiple qubit types within a single fault-tolerant architecture leveraging their respective strengths while avoiding their limitations. Were building the infrastructure for quantum superintelligence. We pioneer new domains in physics engineering and AI tackling the hardest challenges with a grounded optimistic and rigorous culture. Our team is growingwere looking for scientists who want to shape how quantum and AI intersect and unlock the potential of both together.

About the Role

Generative AI is transforming whats computationally possiblebut its also exposing the limits of classical hardware. Diffusion models produce extraordinary results yet their iterative sampling and high-dimensional score estimation create computational bottlenecks that scale poorly.

We believe quantum computing offers a path through these bottlenecks. As an ML Research Scientist youll work at the frontier of generative modeling and quantum acceleration developing the theoretical foundations and practical implementations that connect these fields. Youll identify where quantum approaches can provide genuine advantage in generative workflowsnot incremental improvements but structural speedups rooted in the mathematics of these models.

What Youll 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

Why This Matters

Generative AI is bottlenecked by compute. Training and inference costs for diffusion models are measured in GPU-years and megawatt-hours. If quantum acceleration can fundamentally change these economics it changes what generative AI can doand who can access it. Your work could help make these models more efficient more capable and more sustainable.

How Were Different

We believe kind people build strong teams : we prioritize mission over ego and share our thinking transparently. We celebrate curiosity dream big and forge our own path but always with strong execution towards measurable goals. Our teams collaborate closely together questioning assumptions and balance optimism with rigorous validation. We move fast and build things knowing that perfect is the enemy of done.

Culture & Benefits

Visa Sponsorship - We know what it takes to make top talent thrive here. Were 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 its 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 dont 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

Required Experience :

IC

Key Skills

Laboratory Experience,Machine Learning,Python,AI,Bioinformatics,C / C++,R,Biochemistry,Research Experience,Natural Language Processing,Deep Learning,Molecular Biology

Employment Type : Full-Time

Experience : years

Vacancy : 1