Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

We will train on Machine Learning! 

This is a phenomenal opportunity for any developer looking to gain Machine Learning skills. The Visa Data Platform team is looking for a Staff Software Engineer to help with development on our new Machine Learning Platform. In this role you will: 

• Build and expand on Visa Data Platform’s Kubernetes-based Machine Learning Platform (MLP) and Airflow Workflow Engine within an agile collaboration environment 

• Build the feature-engineering platform within MLP that creates an opinionated way to create Spark-based features that can be deployed to batch or real-time scoring. 

• Observe the thriving open source projects in the descriptive and predictive analytics space and bring it into Visa to further enrich customer offerings 

• Deliver end-to-end applications and frameworks ranging from system programming to micro-services to simple front-end applications 

• Be responsible for automated deployment of the product through CI/CD-based deployments into Kubernetes 

• Security-first mindset to ensure that any software built will satisfy Visa’s stringent security standards 

• Develop procedures and best practices standards 

Basic Qualifications: 

• 6 years of work experience with a Bachelor’s Degree or at least 3 years of work experience with an Advanced Degree (e.g. Masters/MBA/JD/MD) in Computer Science or related field 

• Development experience with Java/C++, Python, Anaconda, Spark, Hive, Kafka 

• Experience using a Linux terminal 

• Experience relational database and SQL development 

• Hands-on experience in developing and managing development of Data Integration applications for large corporations with experience in both batch and online systems.  

• Understanding best practices for Big Data (in Hadoop), data warehousing, consumer analytics, knowledge management and near real time data processing (in Flink or Spark Streaming) 

• In-depth knowledge of the software development life cycle required 

• Excellent communication skills with ability to present complex ideas and document in a clear and concise way 

Preferred Qualifications: 

• Experience building a data integration tool is a big plus 

• Experience in Machine Learning development and deployment is a big plus 

• Experience with TensorFlow is a plus 

Work Hours: Varies upon the needs of the department

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

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.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.