Visa-posted 4 months ago
$116,500 - $164,500/Yr
Full-time • Entry Level
Hybrid • Austin, TX
Credit Intermediation and Related Activities

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 entry-level 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.

  • Design, build, and maintain the full lifecycle of our machine learning systems, from our low-latency inference engine to the observability platform that supports it.
  • Develop and optimize high-performance, mission-critical services using languages like Rust, Python, and Go.
  • Enhance the reliability and visibility of our MLOps ecosystem by building and scaling solutions for monitoring, logging, and tracing.
  • Collaborate closely with data scientists and ML engineers to deploy, scale, and troubleshoot machine learning models in production.
  • Write clean, high-quality, and well-tested code, and participate in code reviews to raise the bar for the entire team.
  • Diagnose and resolve performance bottlenecks and system failures in our production environment.
  • 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD).
  • Strong programming proficiency in at least one of the following languages: Rust/C++/Go/Java.
  • A strong desire to learn and a passion for building impactful, high-performance systems.
  • Experience with performance optimization.
  • 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.
  • Medical
  • Dental
  • Vision
  • 401 (k)
  • FSA/HSA
  • Life Insurance
  • Paid Time Off
  • Wellness Program
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