Visa-posted about 2 months ago
Full-time • Mid Level
Hybrid • Foster City, CA
5,001-10,000 employees

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. Essential Functions Lead and mentor a team of engineers focused on developing advanced AI and machine learning solutions. Design, implement, and optimize low latency and high throughput systems that are highly available and scalable. Drive architecture decisions and best practices for deploying machine learning models into production environments. Collaborate with data scientists, engineers, and product managers to deliver robust AI-powered applications. Ensure systems are monitored and maintained for performance, reliability, and security. Utilize orchestration tools such as Kubernetes and Nomad for container management and deployment. Work with fast data stores and high-performance messaging systems, including Rust and Aeron. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

  • Lead and mentor a team of engineers focused on developing advanced AI and machine learning solutions.
  • Design, implement, and optimize low latency and high throughput systems that are highly available and scalable.
  • Drive architecture decisions and best practices for deploying machine learning models into production environments.
  • Collaborate with data scientists, engineers, and product managers to deliver robust AI-powered applications.
  • Ensure systems are monitored and maintained for performance, reliability, and security.
  • Utilize orchestration tools such as Kubernetes and Nomad for container management and deployment.
  • Work with fast data stores and high-performance messaging systems, including Rust and Aeron.
  • 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
  • Extensive hands-on experience building and deploying machine learning applications in production environments.
  • Proven track record of leading or driving engineering teams to successful project delivery.
  • Solid understanding of system design for low latency, high throughput, and highly available applications.
  • Experience with container orchestration tools such as Kubernetes and Nomad.
  • Expertise in monitoring and maintaining production systems for reliability and performance.
  • Strong programming skills with a focus on Rust and experience with high-performance messaging systems like Aeron.
  • Familiarity with fast data stores and distributed systems architecture.
  • Excellent communication and collaboration skills.
  • Ability to thrive in a fast-paced, team-oriented environment.
  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field.
  • Ideal candidates will have 12 to 15 years of professional experience in machine learning engineering or related fields, demonstrating a strong track record of leadership and technical expertise. This extensive experience should include hands-on work with advanced algorithms, successful project delivery, and mentoring junior engineers.
  • Experience in the financial technology sector or with payment systems.
  • Knowledge of additional orchestration and monitoring tools.
  • Contributions to open-source projects or published work in machine learning or distributed systems.
  • Familiarity with cloud computing platforms.
  • 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.
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