Lead Machine Learning Engineer - Risk Authorization - AI Platform Team

Company Description

Visa is a global leader in digital payments, facilitating over 215 billion payment transactions between consumers, merchants, financial institutions and government agencies across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payment network, enabling individuals, businesses and economies to thrive.

When you join Visa, you become part of a purposeful culture that prioritizes your growth, embraces your identity, and values the impact of your work. We believe that inclusive economies lift everyone, everywhere. Your work will directly impact billions of people worldwide, aiding in unlocking financial access to shape the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

The Payments sector has become highly active in recent years, creating a strong demand for innovation. This is an exciting field for many years to come. While VISA has long been a leader in the payment industry, it is also rapidly transitioning into a technology company that fosters an environment for applying the latest technology to solving exciting challenges in this area.

Visa AI as a Service (AIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. With composable AI capabilities, privacy-enhancing computation, and cloud-native platforms, AIaS automates updates to data, models, and applications. Paired with robust AI governance, AIaS optimizes the performance, scalability, interpretability, and reliability of AI models and services. If you desire to be part of the thrilling payment and AI arena, learn quickly, and make significant impacts, Visa AI as a Service is the perfect place for you!

This position is for a Lead Machine Learning Engineer with solid Machine Learning System development experience, who will contribute to both strategic and tactical planning and execution to continuously advance the AI Platform's vision and mission. You are first and foremost passionate and versatile machine learning experts and system architects capable of thriving in a multifaceted environment as a member of Agile Scrum teams.

You will play a critical part in the leadership team, establishing technical roadmaps, introducing the latest machine learning and system technologies to the team, collaborating with development managers and teams to identify and address technical challenges, and working with different product and data science teams to streamline feature requests and model onboarding.

This position will be based in Austin, TX. If this sounds exciting, we would love to chat, tell you more about our work environment and see if this will be a good fit for both of us.

Essential Functions

• Collaborate with project teams, data science teams, and development teams to shape the technical roadmap and guide the development and implementation of new data-driven business solutions.

• Promote technical standards and best practices, and continuously enhance the scalability of the AI Platform engineering.

• Architect and design AI Platform services including Machine Learning Engines, In-Memory Computing Systems, Streaming Computing Systems, Distributed Data Systems, etc., in Golang, Java, and Python.

• Coordinate implementation among development teams to ensure system performance, security, scalability, and availability.

• Coach and mentor junior team members, fostering team talent growth.

This is a hybrid position. Hybrid employees divide their time between remote work and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (as determined by leadership/site), with a general expectation of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications:

• 10+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience.

Preferred Qualifications:

• 7+ years of experience after obtaining a PhD.
• Strong experience in cutting-edge areas such as Machine Learning, Deep Learning, Stream Computing, MLOps, In-Memory Computing.
•  Expertise in at least one of the following: Golang, Java, Python, or C/C++
• Substantial experience with web service standards and related patterns (REST, gRPC)
• Expertise in developing large-scale, enterprise-class distributed systems or subsystems requiring high availability, low-latency, & strong data consistency.
• Expertise in distributed in-memory computing technologies like Redis
• Experience with handling large amounts of data and general analytics with technologies like Hadoop, Spark, and MapReduce
• Experience in developing appropriate metrics instrumentation in software components to facilitate real-time and remote problem-solving/performance monitoring.

Additional Information

Work Hours: Varies upon the department's needs.

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

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, engage in in-person and telephone communication, frequently operate standard office equipment such as telephones and computers.

Visa is an Equal Opportunity 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.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 150,900.00 to 196,200.00 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 a bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible, including Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and a Wellness Program.