Company 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.
Job Description
Featurespace is looking for a passionate and enthusiastic Software Engineer to join our team. You will work on our industry-leading financial crime fighting technology, making the world a safer place to transact alongside our existing team of innovators and experts. We are looking for individuals who can deliver and maintain a robust product across the full software development life cycle. You will help us achieve our goals and deliver success on behalf of our customers by being responsible for analytical technology that is fast, flexible, and easy to use; implementing data‑intensive applications and machine learning components, enabling Analytics teams to deliver state‑of‑the‑art models in a timely manner; optimizing and scaling modeling workflows required to build analytics for increasingly large datasets; and implementing new features within ARIC that improve the modeling lifecycle of analytics. It is first and foremost an engineering role – enabling users to create machine learning and analytics solutions. This position is based in our Cambridge office, with 3 days per week in the office expected.
Day to Day Responsibilities
* Improve workflows for designing, deploying, and maintaining analytics
* Engineer optimized and maintainable data‑intensive applications
* Champion software engineering process and process improvements
* Provide support for mission‑critical services deployed to production, including an on‑call rota
Qualifications
Basic Qualifications
* Relevant STEM degree (e.g., Computer Science, Engineering, Physics, Maths)
* Experience designing and developing applications in any language
* Understanding of the full SDLC, including source control, testing and code reviews
* Comfortable working with large codebases
* Knowledge of secure software development practices
Preferred Qualifications
* Experience designing and developing applications in Java
* Knowledge of the lifecycle around training and deploying machine learning models
* Knowledge of parallel and distributed computing
* Knowledge of database architectures and data layouts for efficient processing
* Experience with real‑time event processing systems
* Experience with performance tuning and profiling
* Ability to design information‑rich tools in a user‑friendly way
* Understanding and use of GenAI technologies in a secure software development lifecycle
* Experience with machine learning frameworks such as TensorFlow or PyTorch
* Experience with working in a Linux environment
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.
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