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Staff Machine Learning Engineer- AI Governance - job 15 of 21

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AI Governance (AIG) Engineering team is part of the Data and AI Platform (DAP) technology organization in Visa. The team’s mission is to provide a Trustworthy AI – an engineering solution for Visa to achieve centralized AI excellence across Visa. We aim to develop, assess and deploy AI systems in a responsible and trustworthy way at Visa. This is a fantastic opportunity to join the effort undergoing in building the AI Observatory product for Visa. The AI Observatory product provides an inventory of ML models and AI systems, oversight for model’s full lifecycle, and governance of all model’s accuracy, transparency, fairness, and robustness. We are also uplifting domain-specific models to the unified AI Governance framework and streamline the modeling efforts to a centralized AI excellence across Visa.

As an AI Engineer in AI Governance engineering team, you will have the unique chance to make a direct and meaningful impact by building and delivering solutions that power AI Governance engineering solution. You will design, enhance, and build solutions dealing with the next generation AI/ML and Generative AI technology and be an agent of transformation. We deliver and support strategic goals and have a lasting impact on our enterprise. We aim to stay ahead of the curve adapting to the advancement of Generative AI and keep our business miles ahead of our competitors.

Responsibilities

You will design, develop, and maintain scalable and reliable AI governance service.
You will apply robust architectural principles to create effective and efficient solution.
You will work closely with interdisciplinary teams, including data scientists, product managers, and legal experts, to ensure compliance of AI systems with ethical standards and regulatory requirements.
You will be instrumental in developing an advanced Responsible AI platform utilizing the latest Generative AI technology.
You will address the evolving challenges in AI governance, ensuring the creation of responsible and trustworthy AI solutions.
You will investigate and assess emerging technologies and third-party solutions, prototyping and strategizing their integration within Visa.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office three days a week, Tuesdays, Wednesdays and Thursdays with a general guidepost of being in the office 60% of the time based on business needs.

Average salary estimate

$130000 / YEARLY (est.)

min

max

$120000K

$140000K

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What You Should Know About Staff Machine Learning Engineer- AI Governance, Visa

Join Visa as a Staff Machine Learning Engineer in the AI Governance team based in Foster City, where you'll be part of a thrilling journey to shape the future of Artificial Intelligence governance. The AI Governance (AIG) Engineering team is committed to fostering Trustworthy AI through innovative engineering solutions that bolster centralized AI excellence across the organization. In this dynamic role, you'll have the opportunity to influence the development and deployment of AI systems that are responsible and trustworthy. Get ready to dive into building the AI Observatory product, which serves as the backbone for overseeing the entire lifecycle of machine learning models at Visa. You'll collaborate with diverse teams—from data scientists to legal experts—to ensure our AI systems comply with ethical and regulatory standards. Applying your expertise, you'll design and maintain scalable governance services that leverage the latest advancements in Generative AI technology. Your contributions will directly impact Visa’s strategic goals and keep us at the forefront of AI innovation. This hybrid position allows you the flexibility to balance your work between home and the vibrant office environment. Join us in creating responsible AI solutions that make a difference!

Frequently Asked Questions (FAQs) for Staff Machine Learning Engineer- AI Governance Role at Visa

What are the main responsibilities of a Staff Machine Learning Engineer at Visa?

As a Staff Machine Learning Engineer at Visa, you will take on pivotal responsibilities, including designing and developing scalable AI governance services. You will apply robust architectural principles to enhance the efficiency of AI systems and collaborate with interdisciplinary teams to ensure compliance with ethical standards and regulations. Additionally, you’ll be instrumental in developing a cutting-edge Responsible AI platform using Generative AI technology.