ML Research Scientist Quantum Accelerated Generative Models
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
About Sygaldry
Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI were accelerating the path to superintelligence and addressing the problem of rising compute costs and energy bottlenecks. Sygaldry AI servers combine multiple qubit types within a single fault-tolerant architecture to deliver the combination of cost scale and speed necessary for advanced AI applications. We pioneer new domains in physics engineering and AI tackling the hardest challenges with a grounded optimistic and rigorous culture. Were looking for individuals ready to define the intersection of quantum and AI and drive its profound global impact.
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
How Were 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. Were 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. 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
