Lead Machine Learning Engineer

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.

Make an impact with a purpose‑driven industry leader. Join us today and experience Life at Visa.

Job Description

VISA is the leader in the payment industry and has been for a long time, but we are also quickly transitioning into a technology company that is fostering an environment for applying the newest technology to tackle exciting problems in this area. For a payment system to work well, the risk techniques, performance, and scalability are crucial. These techniques and systems benefit from big data, data mining, artificial intelligence, machine learning, cloud computing, & many other advance technologies.

At VISA, we have all of these. If you want to be on the cutting edge of the payment space, learn fast, and make a huge impact, then the Artificial Intelligence Platform team may be an ideal place for you!

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!

Essential Functions:

Our team needs a Lead ML Engineer with strong Data and Machine Learning System development and operations experience, who will contribute to both strategic and tactic planning and execution to continuously advance AI Platform's vision and mission. In this position, you are first a hard‑working and versatile data engineering leader that can work in a multifaceted environment as a member of Agile scrum teams.

You will be an integral part of the leadership team, setting up technical roadmap, introducing the latest machine learning and system technology to the team, working with development managers and teams to identify and resolve technical challenges, and working with different products and data science teams to streamline the feature request and model onboarding.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications:

• 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD.

Preferred Qualifications:

• 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD.
• Exposure to innovative areas such as Machine Learning, Big Data, Distributed Systems or SRE. Experience in at least one of the following:
  Golang, Java, or C/C++
• Familiarity with web service standards and related patterns (REST, gRPC)
• Experience implementing solutions for low‑latency, distributed services using open standard technologies.
• A background in the fraud detection domain is a plus.

Additional Information 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…