Research Scientist - Frontier AI/ML & Quantum Algorithms
San Francisco, CA$200k - $300kFull-timePosted 2mo ago
About the role
Research Scientist role at Sygaldry Technologies focused on frontier AI/ML, quantum algorithms, and hardware-software co-design to define Quantum AI and develop quantum-accelerated AI systems for scientific discovery and complex AI workloads.
Responsibilities
- Develop and study models for high-dimensional scientific prediction, generation, and design (diffusion models, flow matching, score-based and energy-based models, latent-variable models, autoregressive models, normalizing flows)
- Explore scientific foundation models for molecules, materials, proteins, quantum systems, weather, climate, PDEs, and dynamical systems
- Investigate graph neural networks, geometric deep learning, equivariant models, neural operators, tensor methods, manifold learning, and learning on structured state spaces
- Create models that combine prediction, uncertainty, active learning, and closed-loop design for scientific discovery
- Build algorithms and theory for probabilistic inference, Bayesian modeling, variational inference, Monte Carlo methods, simulation-based inference, uncertainty quantification, and calibration
- Work on optimization, sampling, amortized inference, sequential decision-making, Bayesian experimental design, reinforcement learning, planning, and control
- Develop scientific reasoning systems, model-guided discovery, algorithmic discovery, and agents that propose/test/refine hypotheses
- Design benchmarks that reveal scaling behavior changes with new computational substrates
- Identify and integrate quantum algorithms for AI workloads (sampling, integration, Monte Carlo acceleration, linear algebra, optimization, Hamiltonian simulation, quantum simulation, tensor-structured computation)
- Develop hybrid quantum-classical workflows embedding quantum primitives inside classical AI pipelines
- Collaborate with hardware teams to translate AI bottlenecks into quantum resource requirements and inform architecture choices
- Prototype in Python/JAX/PyTorch; utilize quantum software frameworks like PennyLane, Qiskit, Cirq, CUDA-Q, TensorCircuit or simulators
- Translate AI workloads into quantum and classical hybrid techniques for real hardware-inspired evaluation
Qualifications
- Have a research record in machine learning, AI, statistics, physics, applied mathematics, computer science, quantum information, or related field
- Deep expertise in at least two of: generative modeling, probabilistic inference, uncertainty quantification, geometric deep learning, graph neural networks, optimization, reinforcement learning/control, numerical methods, scientific machine learning, quantum algorithms, or quantum information
- Published research relevant to NeurIPS/ICML/ICLR/AISTATS/UAI/COLT/QIP/TQC/PRX Quantum/Nature/Science or similar
- Ability to move between theory and implementation (deriving algorithms, building prototypes, running careful experiments, communicating results)
- Experience with ML frameworks (PyTorch, JAX) and efficient inference implementation
- Eagerness to work with quantum hardware teams and define AI workloads for fault-tolerant quantum systems
- Strong communication of complex ideas across research communities
- Comfort with rigor: identifying where quantum computation helps or not, supported by evidence
Skills
Required:Frontier AI/ML & Quantum AlgorithmsGenerative modelingProbabilistic inference / Bayesian methodsPython / Python frameworks (PyTorch, JAX)
Nice to have:Graph neural networks / geometric deep learningQuantum algorithms / quantum informationQuantum software frameworks
Benefits
- Visa Sponsorship - We know what it takes to make top talent thrive here. We’re open to supporting visas whenever possible.
- Compensation - Competitive salary and meaningful equity.
- Benefits - Company-sponsored health coverage for you and your family.
- Connection - Offsites and social events to connect and recharge.
- Time Off - Unlimited PTO.
Last updated Aug 26, 2026. Interested? Apply on the company site.
About Sygaldry Technologies
quantum-accelerated AI servers
We’re building quantum-accelerated AI servers so organizations building AI can exponentially speed up training and inference. And we’re making tools for AI researchers to integrate quantum capabilities into AI models and workflows.
hard-techquantum-computingai
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