Staff Machine Learning Engineer- Visa AI as a Service
Austin, TX, United States
Visa
Das digitale und mobile Zahlungsnetzwerk von Visa steht an der Spitze der neuen Zahlungstechnologien für die neue Zahlung, elektronische und kontaktlose Zahlung, die die Welt des Geldes bildenCompany Description
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.
Job Description
Payments has become a very active/hot area in the last couple of years, creating a strong demand for innovation. This will continue to be exciting area for the next 5 to 10 years. Not only is VISA a leader in the payment industry and has been for a long time, but it is also quickly transitioning into a technology company that is fostering an environment for applying the newest technology to tackle exciting problems in this area.
Visa AI as a Service (VAIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, VAIaS automates the updates to data, models, and applications. Combined with strong AI governance, VAIaS optimizes the performance, scalability, interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, Visa AI as a Service is an ideal place for you!
This position is for a Staff Engineer with solid development experience who will focus on creating new capabilities for AI as a Service while maturing our code base and development processes. In this position, you are first a hardworking and versatile developer that can complex environment as a member of Agile Scrum teams. Your strong technical leadership, problem-solving abilities, coding, testing and debugging skills is just a start. You must be dedicated to filling product backlog and delivering production-ready code. You must be willing to go beyond the routine and prepared to do a little bit of everything.
You will be an integral part of the development team, sometimes investigating new requirements and design and at times refactoring existing functionality for performance and maintainability, but always working on ways to make us more efficient and provide better solutions to our end customers. The role is for a self-organized individual with knowledge of web application and web service development. The candidate will perform hands-on activities including design, documentation, development and test of new functionality. Candidate must be flexible and willing to switch tasks based on team’s needs.
This position will be based in Austin, TX. If this sounds exciting, we want to chat and tell you more about our work culture and environment and see if this will be a good fit for both of us.
Essential Functions
- Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.
- Drive development effort End-to-End for on-time delivery of high quality solutions that conform to requirements, conform to the architectural vision, and align with all applicable standards. Responsibilities span all phases of solution development.
- Collaborate with senior technical staff and PM to identify, document, plan contingency, supervise and manage risks and issues until all are resolved
- Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.
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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.
Qualifications
Basic Qualifications:
• 5 or more years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
Preferred Qualifications:
• Bachelor degree in Computer Science or related field and 8 years of Software Development Experience or a Masters with 5 years of Software Development Experience or a PhD with 2 years of experience.
• Exposure to leading-edge areas such as Machine Learning, Deep Learning, Stream Computing, MLOps.
• Expert in at least one of the following: Golang, Java, or C/C++
• Experience with web service standards and related patterns (REST, gRPC)
• Experience developing large scale, enterprise class distributed system or subsystems that require high availability, low-latency, & strong data consistency computing
• Experience implementing solutions for low-latency, distributed services using open standard technologies.
• Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce
• Experience with distributed caching technologies like Redis
• Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring.
• Experience architecting solutions with Continuous Integration and Continuous Delivery in mind
• Strong interpersonal and leadership skills with effective communication (both written and verbal) skills and the ability to present complex ideas in a clear & concise way, a team player with good work ethics
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $126,000 to $163,800 USD, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Additional Information
Visa has adopted a COVID-19 vaccination policy to safeguard the health and well-being of our employees and visitors. As a condition of employment, all employees based in the U.S. are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.
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.
Tags: Agile AI governance Big Data Computer Science Deep Learning Flink Golang Hadoop Java Machine Learning MLOps PhD Privacy Scrum Spark Testing
Perks/benefits: Career development Equity Flex hours Flex vacation Health care Insurance Salary bonus Startup environment Wellness
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