Machine Learning Scientist 1-2 years experience
Machine Learning Scientist 1-2 years experience
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Job Description
The ML Scientist will work with a worldclass team at the middle of a global payments revolution focusing on multiple convergent trends across all geographies that Visa operates in. You will conduct extremely highquality applied AI & ML research and contribute to the longterm research agenda in largescale machine learning for Visa. This role will make key contributions to Visas strategic vision as a worldleading datadriven company. You will deeply understand the business problem formulate it as a mathematical problem identify datasets from which alpha can be derived and finally provide innovative solutions for Visas strategic products and business. The successful candidate must have strong academic track record deep understanding of algorithms handson experience on very large sized datasets and demonstrate excellent software engineering skills. The successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail excellent collaboration skills and a commitment to pushing the boundaries of applied sciences.
Essential Functions
- Formulate business problems as technical and mathematical problems and collaborate with business and product stakeholders to ensure key business drivers are impacted.
- Work with product engineering to ensure implementability of solutions. Deliver prototypes and production code based on need.
- Experiment with inhouse and thirdparty data sets to test hypotheses on relevance and value of data to business problems.
- Build endtoend ML pipelines across data extraction feature engineering training inference and validation using very large structured and unstructured data sources. This includes development of custom algorithms as well as use of packaged tools for machine learning analytics and statistical techniques.
- Devise and implement methods for adaptive learning with controls on efficiency methods for explaining model decisions where vital model validation A/B testing of models.
- Devise and implement methods for efficiently monitoring model efficiency and performance in production.
- Contribute to development and adoption of shared predictive analytics infrastructure.
- Use AI copilots to automate and gain efficiency across the complete ML model development lifecycle.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 23 set days a week (determined by leadership/site) with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications :
Basic Qualifications
ML scientist: 2 or more years of relevant experience with an Advanced Degree (e.g. Masters) Trained and/or deep experience in mathematical concepts underlying statistics machinelearning algorithms and data structures.
Relevant coursework in machine learning deep learning and modeling techniques using TensorFlow. Ability to read and critique SOTA implementations in research papers.
Intermediate to Expert programming skills in at least one of Python Scala.
Experience working with large datasets using tools like PySpark. Experience in Ray or Dask is a plus.
Experience in building and deploying models as microservices.
Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus.
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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
