Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Payments, FinTech, TechnologyIndustries
Requirements
- Advanced degree in Data Science, Computer Science, Physics, Mathematics, or related field
- Strong background in machine learning, statistical modeling, and data engineering
- Enthusiasm for bringing cutting-edge deep learning models into production at Visa-wide scales
- Practical experience managing (incomplete in description, but implied as relevant)
Responsibilities
- Collaborating with Product Managers & other members of the team to align on the highest value items to work on
- Coordinating work across multiple teams & when needed, taking on additional “tech lead” responsibilities for driving initiatives to completion
- Identifying risks and testing assumptions before development
- End-to-end processing and modelling of large data sets
- Training deep learning models utilizing self-supervised training, supervised fine-tuning or adaptation approaches
- Ensuring new deep learning models successfully navigate model risk management processes, ensuring high quality documentation exists alongside analytics products (reports, presentations, visualizations)
- Leading the deployment and maintenance of statistical models and algorithms
- Collaborating with data engineers to identify and implement improvements to tooling
- Enabling both technical and non-technical colleagues by effectively communicating insights learnt during data science work
- Evangelizing on the benefits of deep learning models within Visa
- Improving team processes and providing input to future team strategy
- Mentoring more junior members of the team as well as managing and prioritising their workload to ensure high-quality output
- Developing a solid understanding of the fraud and financial crime industries
- Ownership of any other duties as required
Skills
Data Science
Foundation Models
AI Models
Machine Learning
Model Training
Model Evaluation
Fraud Detection
Risk Modeling
Identity Solutions
Python
Visa
Global digital payment network provider
About Visa
Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.
San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees
Benefits
Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.
Risks
CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.
Differentiation
Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).
Upsides
Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.
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