Principal ML Engineer - AI Platform

Key Skills

Aartificial intelligence, Apache Hadoop, Apache Hive, Big Data Technology, C Programming, C++, Data Mining, Deep Learning, GoLang, Java Programming, Linux Operating system, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), Python Programming, Scala Programming, Spark Core, SQL, TensorFlow, Unix Operating system

Job Description

Payments has become a very active/hot area in the last couple of years, creating a strong demand for innovation. This will be a very exciting area in 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 latest technology to solve 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 Principal Machine Learning Scientist with solid Machine Learning System development 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 passionate and hard-working machine learning specialist and system architect 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 position will be based in Austin, TX and reporting to Head of Visa AI as a Service. 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 teams, data science teams and development teams to drive the technical roadmap and guide development and implementation of new data driven business solutions.
• Drive technical standard and best practices, and continuously improve AI Platform engineering scalability.
• Architecture and design of AI Platform services including Machine Learning Engines, In Memory Computing Systems, Streaming Computing Systems, Distributed Data Systems and etc, in Golang, Java, and Python.
• Coordinate the implementation among development teams to ensure system performance, security, scalability and availability.
• Coaching and mentoring junior team members and evolving team talent pipeline.

Basic Qualifications:

• 12 or more years of work experience with a Bachelor’s Degree or at least 10 years of work experience with an Advanced degree (e.g. Masters/MBA /JD/MD); or a minimum of 5 years of work experience with a PhD

Preferred Qualifications:

• 15 years of Machine Learning System Development Experience after PhD.
• Strong experience in innovative areas such as Machine Learning, Deep Learning, Stream Computing, MLOps, In-Memory Computing.
• Experience with Golang, Java, Python, or C/C++
• Expert in web service standards and related patterns (REST, gRPC)
• Expert in developing large scale, enterprise class distributed system or subsystems that require high availability, low-latency, & strong data consistency computing.
• Authority in architecting solutions with Continuous Integration and Continuous Delivery in mind
• Expert in distributed in-memory computing technologies like Redis
• Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and MapReduce
• Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote problem solving /performance monitoring.
• Strong interpersonal and leadership skills with effective communication (both written and verbal) skills and the ability to present sophisticated ideas in a clear & concise way, to different audiences.
• A background in the payment domain is a plus.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 192,300.00 to 250,000.00 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 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.

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.