
Sr. ML Scientist (4-6 years' experience, Build Transformer-based models, Inference Engineering)
Visa · Posted Oct 21
Digital payment technology platform and global payment card services corporation
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About the role
Visa is a global payments technology company facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. The team is building AI that protects and powers global commerce and money movement, applying machine learning, foundation models, and intelligent decision systems at scale. As a Senior ML Scientist, the role involves designing, experimenting with and deploying state-of-the-art ML/AI models, driving research and patents, and integrating models into production pipelines alongside engineering and product teams, with access to top-tier compute, tools, and datasets.
What you will do
- Extract insights from large-scale Visa datasets across business lines to define high-value, fit-for-purpose problems beyond payments - driving clarity and framing business impact with precision.
- Rapidly design, experiment, and deploy SOTA ML/AI models, owning the full lifecycle and ensuring solutions are scalable, measurable, and aligned with strategic goals.
- Lead future-forward AI/ML research, proactively identifying emerging techniques, publishing influential work, and filing patents to amplify Visa’s innovation footprint.
- Integrate models into production with engineering and product teams, building robust, compliant pipelines with an eye on velocity, reliability, and business outcomes.
Skills used in this role
What the employer is looking for
- 4+ years of relevant work experience and a Bachelors degree, OR with an Advanced Degree in computer science, machine learning or related field preferred
- Strong fundamentals in machine learning: Deep learning, RL, and optimization and solid understanding of the math behind them. You should be able to derive algorithms from first principles and understand their limitations.
- Proven track record (3+ years) of building AI / ML models which can handle scale (think model architecture, size, latency, architecture, etc). You’ve shipped models that matter in production environments with real users and measurable impact.
- You have experience in working in multiple domains, and have been able to connect different techniques to appropriate business problems, in the past.
- Ownership and velocity: You take initiative, move fast, and iterate. You don’t wait for permission, you define the problem, build the solution, and drive it to completion.
- Fluency in code. You write clean, efficient Python, and you’re comfortable navigating large codebases. You treat code as a medium for clarity and experimentation. You have experience in PySpark, PyTorch, tensor flow, as well as GPU based compute environments.
- Research mindset with product intuition. You know when to read papers and when to write them. You can balance novelty with practicality and know how to translate ideas into working systems. You are deeply technical covering both ML as well as deep learning fundamentals spanning design, pre-training, fine-tuning, and evaluation.
- Communication clarity. You can explain complex ideas simply, whether in a design doc, a pull request, or a hallway conversation. You write well and think clearly.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Visa
Visa Inc. is a multinational payment card services corporation that facilitates electronic funds transfers worldwide. The company empowers global commerce through its secure digital payment network, connecting consumers, merchants, financial institutions, and government entities across more than 200 countries and territories.
- Industry
- Banking
- Company size
- 34100 employees
- Founded
- 1958-09-18
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $17.9B raised
- 2008-03-19IPO$17.9B
Leadership
Chief Executive Officer
Chief Financial Officer
Chief Product and Strategy Officer
Group President, Global Markets
Vice Chair, Chief People and Corporate Affairs Officer
Recent coverage
Visa Newsroom
Visa Reports Strong Fiscal Year Financial Results and Record Payment Volumes2025-10-25
Business Wire
Visa Expands Value-Added Services Portfolio with New Global Merchant Capabilities2026-02-14
PR Newswire
Visa Appoints New Leadership to Accelerate Next-Gen Digital Payment Infrastructure2026-06-05