Senior Machine Learning Engineer- Visa AI as a Service

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.

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!

We are looking for a talented and versatile machine learning engineer to join our growing team. In this role, you will be a key contributor to the full lifecycle of our core machine learning infrastructure. You will be responsible for both building our high-performance, low-latency model inference engine and ensuring its rock-solid reliability through a best-in-class observability platform.

This is a role for a strong software and machine learning engineering generalist who is passionate about building robust, scalable systems. You will be empowered to solve complex problems, write production-grade code, and make a significant impact on the systems that power our intelligent products.

Essential Functions:

• Assist in designing, building, and maintaining the full lifecycle of our machine learning systems, from our low-latency inference engine to the observability platform that supports it.
• Work on developing and optimizinghigh-performance, mission-critical services using languages like Rust, Python, and Go.
• Enhancingthe reliability and visibility of our MLOps ecosystem by building and scaling solutions for monitoring, logging, and tracing.
• Collaboratingclosely with data scientists and ML engineers to deploy, scale, and troubleshoot machine learning models in production.
• Writingclean, high-quality, and well-tested code, and participate in code reviews to raise the bar for the entire team.
• Diagnosingand resolve performance bottlenecks and system failures in our production environment.

If you are passionate about machine learning, model inference technology, large scale low latency system and are excited about making a significant impact, we would love to hear from you.

This is a hybrid position based in Austin, TX, allowing alternating between remote and office work. Expectations are to be in-office at least two days a week, aiming for a 50% office presence based on business requirements.

Basic Qualifications:

• 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD).

Preferred Qualifications:

• Strong programming proficiency in at least one of the following languages: Rust/C++/Go/Java..
• Solid understanding of computer science fundamentals, including data structures, algorithms, operating systems, and computer networks.
• Hands-on experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Familiarity with observability tools (e.g., Prometheus, Grafana, OpenTelemetry) and cloud platforms (AWS, GCP, Azure).
• Knowledge of network programming, gRPC, Protocol Buffers, or other RPC frameworks.
• Experience working on large-scale distributed systems.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel5-10% 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.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $116,500.00 to $164,500.00 USD per year, 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.