Staff ML Scientist

Job Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description We are looking for a Staff ML Scientist to design and develop nextgeneration AI and ML models that solve realworld challenges in the payments ecosystem covering transaction monitoring, fraud detection, and risk mitigation across multiple Visa businesses. You will be part of cross-functional team of data scientists and ML engineers based out of Bangalore and collaborating globally, driving innovation in the Risk and Identity Solutions (RaIS) through advanced AI/ML technologies. You will combine deep technical expertise with ownership, velocity, and influence. You will drive the scientific roadmap at scale, ensuring models are aligned, explainable, and robust, and you'll collaborate with worldclass experts while influencing product strategy in a highstakes domain. The position offers access to toptier compute, tools, and datasets, and a collaborative, innovative culture focused on shaping the future of global payments. Responsibilities - 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. - Mentor scientists using Generative AI tools, cultivating technical depth, research excellence, and a culture of rigor and collaboration This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Preferred Qualifications - You have 7-10 years of work experience with a Bachelor's Degree or with an Advanced degree. PhD/MS in computer science, machine learning or related field preferred. - Strong fundamentals in machine learning, deep learning, 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 of 6+ years of building AI / ML models which can handle scale (think model size, latency, architecture etc.,). - You've shipped models that matter, ideally in production environments with real users and measurable impact. - You have deep technical and domain expertise in at least two domains where you are able to connect different ML techniques (e.g. contrastive learning, domain adaptation, etc.) to appropriate business problems. - 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. - 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. - 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. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.