Sygaldry Technologies
ML Research Scientist - Quantum Accelerated Generative Models
Sygaldry Technologies, San Francisco, California, United States, 94199
About Sygaldry
Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI, we're accelerating the path to superintelligence, and engineering the conditions for it to scale efficiently and operate affordably. 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. We're 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 what's computationally possible—but it's 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, 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
Why This Matters Your work accelerates the path to quantum superintelligence. Each quantum component integrated, each AI model enhanced, each instruction set optimized brings us closer to a future where intelligence and quantum mechanics are inextricably intertwined. We're not building incremental improvements - we're creating exponential transformations that will make AI more affordable, sustainable, personalized, and fundamentally more capable.
How We’re Different We’re building the infrastructure for quantum superintelligence and pioneering new domains at the intersection of physics, engineering, and AI. 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
#J-18808-Ljbffr
About the Role Generative AI is transforming what's computationally possible—but it's 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, 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
Why This Matters Your work accelerates the path to quantum superintelligence. Each quantum component integrated, each AI model enhanced, each instruction set optimized brings us closer to a future where intelligence and quantum mechanics are inextricably intertwined. We're not building incremental improvements - we're creating exponential transformations that will make AI more affordable, sustainable, personalized, and fundamentally more capable.
How We’re Different We’re building the infrastructure for quantum superintelligence and pioneering new domains at the intersection of physics, engineering, and AI. 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
#J-18808-Ljbffr