below marketmost similar roles pay hereabove market
This role pays more than
92%
of similar roles. Most pay
$162,000–$235,987
— the blue band above.
At the midpoint, this role pays about
$280k
versus about
$199k
for comparable roles.
Based on 240 similar postings.
Employer
About Visa
Visa Inc. is the world''s largest payment network, enabling digital payments for consumers, merchants, financial institutions, and governments through its global processing network and branded card products. Industry: Payments Technology & Financial Services
Visa currently has
114 open roles
on FindRole.
Listed pay typically runs
$161,950–$259,450
across 110 roles with salary data.
The Lead Research Scientist joins the Visa Research team to drive the research strategy at the intersection of quantum computing, AI, optimization, and financial systems. This role involves leading research in Quantum Machine Learning, Quantum Optimization, Quantum Simulation, and Quantum AI. The successful candidate will develop quantum and hybrid quantum-classical algorithms for financial forecasting, portfolio optimization, fraud detection, and transaction network optimization. Key responsibilities include advancing quantum-enhanced AI, identifying high-impact business opportunities, and mentoring researchers. Required expertise includes a Ph.D. and experience with platforms such as Qiskit, Cirq, PennyLane, IBM Quantum, Quantinuum, IonQ, or Rigetti. The work focuses on translating cutting-edge research into real-world applications for global payment and commerce challenges, specifically addressing complex problems in financial modeling and cybersecurity.
Lead research in Quantum Machine Learning, Quantum Optimization, Quantum Simulation, and Quantum AI.
Develop quantum and hybrid quantum-classical algorithms for financial forecasting, risk management, and fraud detection.
Advance research in quantum-enhanced AI, generative models, and AI-driven quantum algorithm discovery.
Evaluate and validate quantum solutions on leading hardware platforms like Qiskit, Cirq, and IBM Quantum.
Identify high-impact opportunities where quantum technologies can create measurable business value for Visa.
Build strategic partnerships with universities, research institutions, and technology providers.
Publish research in top venues and represent the company in industry and academic forums.
Mentor researchers and lead multidisciplinary research programs to foster a culture of scientific excellence.
What we're looking for
Ph.D. in Computer Science, Physics, Mathematics, Engineering, Quantum Information Science, or a related field.
5+ years of research experience in quantum computing or related disciplines.
Strong expertise in quantum algorithms and quantum computing fundamentals.
Deep expertise in one or more of: Quantum Machine Learning, Quantum Optimization, Quantum Simulation, Variational Quantum Algorithms, Quantum Generative AI, Hybrid Quantum-Classical Computing, Quantum Algorithms for Finance, or Fault-Tolerant Quantum Computing.
Experience with platforms such as Qiskit, Cirq, PennyLane, IBM Quantum, Quantinuum, IonQ, Rigetti, or equivalent ecosystems.
Proven ability to translate advanced research into strategic business value, specifically applying quantum methods to optimization, AI, simulation, networks, or financial systems.
Strong leadership, collaboration, mentorship, and executive communication skills.
7+ years of research and postdoctoral experience in quantum computing and AI (preferred).
Recognized research leadership demonstrated through publications, patents, invited talks, and community contributions (preferred).
Experience leading interdisciplinary research programs (preferred).
Machine Learning
PyTorch
Python
Deep Learning
Information Retrieval
Recommender Systems
Language Models
Multi-GPU
Google Cloud
AWS
Azure
Representation Learning
Graph Data
Preference Optimization
Generative AI
Machine Learning
Deep Learning
Computer Vision
Computer Graphics
Natural Language Processing
Diffusion Models
Large Language Models
Multimodal Foundation Models
Video Generation
Video Editing
Machine Learning
Digital Signal Processing
Estimation Theory
Controls
Numerical Analysis
Differential Equations
Linear Algebra
Optimization
Scientific Computing
Agile