Principal ML Scientist

Visa

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Salary
$217,900–$349,000 / yr
Posted
67 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $227k
This role $283k
$153k most similar roles pay here $370k

This role pays more than 90% of similar roles. Most pay $198,675–$254,750 — the shaded band above. At the midpoint, this role pays about $283k versus about $227k for comparable roles.

Based on 240 similar postings.

Employer

About Visa

Visa Inc. is the world''s largest payment network, enabling digital payments for consumers, merchants, financial institutions, and governments through its global processing network and branded card products. Industry: Payments Technology & Financial Services

Visa currently has 103 open roles on FindRole.

Listed pay typically runs $146,200–$233,700 across 99 roles with salary data.

Most-posted roles

View all roles at Visa

At a glance

TL;DR · Principal ML Scientist

Principal ML Scientist joins the Value-Added Services Product Development team within the Engage, Resolve, & Assist group to drive innovation in AI-driven solutions for issuers, merchants, and fintechs. This role focuses on the technical strategy, architecture, and execution of a Generative AI platform with a specific emphasis on inference systems. The individual will design and code highly scalable distributed systems while leading the adoption of Generative and Agentic AI to improve developer productivity and product innovation. Key responsibilities include establishing CI/CD automation, mentoring engineering teams, and developing core frameworks or proof-of-concepts. Required technical skills include proficiency in Java, Python, or GoLang; experience with Spring, Node.js, and React; knowledge of RESTful and gRPC APIs; and expertise in SQL, NoSQL, Redis, and cloud platforms like AWS, Azure, or GCP.

What you'll do

  • Define and drive the overall technical strategy and architecture for the GenAI platform and inference systems.
  • Architect, design, and code highly scalable, reliable, and secure distributed systems and platforms.
  • Lead the adoption of Generative AI and Agentic AI to improve developer productivity and build innovative products.
  • Establish best practices for software development, including CI/CD automation and DevOps across the SSDLC.
  • Develop core frameworks, automation tools, and proof-of-concepts to validate emerging technologies.
  • Provide technical leadership and set clear priorities for high-performing engineering teams to meet product KPIs.
  • Collaborate with security, privacy, and governance partners to ensure compliant and reliable solutions.
  • Mentor and coach senior engineers and managers through tech talks and one-on-one sessions.

What we're looking for

  • Minimum of 12 years experience with a Bachelor's degree, 10 years with an Advanced degree, or 5 years with a PhD.
  • 15+ years in software engineering with a background in architecting large-scale distributed systems (preferred).
  • Proficiency in Java, Python, or GoLang, and frameworks such as Spring, Node.js, and React (preferred).
  • Experience with RESTful/gRPC APIs, microservices, event-driven systems, and inference systems (preferred).
  • Proven experience leveraging Generative AI and Agentic AI for productivity and product innovation (preferred).
  • Strong understanding of API security, data encryption, and Hardware Security Modules (HSMs) (preferred).
  • Proficiency in SQL/NoSQL databases, distributed caching like Redis, and cloud platforms such as AWS, Azure, or GCP.
  • Experience with DevOps practices, CI/CD pipelines, containerization, and automated testing frameworks.

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