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Lead Machine Learning Engineer- Data - job 9 of 20

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The Data and Artificial Intelligence Platform group is a key component of Visa's Technology organization, providing the enabling technology and processes to handle Visa's data assets and deliver valuable information, products, and services to customers. Our team delivers secure, high-quality, and easy-to-use Visa core data assets, along with reliable and scalable data platforms. Our platform operationalizes the delivery of AI and decision intelligence to ensure ongoing business value to Visa and our clients.

As a Lead Machine Learning Engineer- Data with expertise in Machine Learning and Data Engineering, you will drive innovation in developing purpose-fit data solutions using cutting-edge technologies. You will be responsible for executing a data strategy that leverages our data assets to drive innovation through data engineering and GenAI solutions, including developing a synthetic data engine. You will also guide and mentor junior engineers, ensuring security, scalability, performance, and reliability in all data solutions. As an individual contributor based in Foster City, California, USA you will be reporting to Sr. Director of Data as a Service (DaaS) team. This team is growing fast! Join us and be an integral part of the group that is at the leading edge of pioneering Data and AI.

What We Offer:

Exciting Challenges: We work at a scale rarely seen in the industry, solving complex data and AI problems across the entire stack, offering limitless opportunities to leverage and lead in this ever-growing field.
Teamwork and Fun: Each of us brings diverse and rich experiences to the team, enabling us to deliver much more than the sum of our parts and have fun at the same time.
Fantastic People: With strong leadership, you will have the opportunity to learn, collaborate, and deliver together with some of the best and most creative minds in the industry.

About the Role:

Lead the design and architecture of robust, scalable data engineering platforms and infrastructure, including data pipelines, data warehouses, and data lakes (on-prem and cloud-based).
Oversee the entire data lifecycle, from data acquisition and ingestion to transformation, storage, and analysis.
Develop a synthetic data engine to generate on-demand privacy enhanced synthetic data where actual production data cannot be used, ensuring scalability and compliance.
Build and experiment with modeling and scoring algorithms, including custom algorithms and packaged tools based on machine learning, analytics, and statistical techniques.
Champion the adoption of GenAI and Agentic AI technologies and develop strategies to integrate them into existing workflows or build new ones.
Ensure data security, privacy, governance, and compliance with all relevant regulations, and develop and implement auditable policies and procedures.
Lead and guide a high-performing data engineering and ML team, fostering a culture of innovation and continuous learning.
Partner with business stakeholders to understand their needs and translate them into actionable data-driven solutions.
Stay up-to-date on emerging data and AI trends and technologies.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Average salary estimate

$150000 / YEARLY (est.)

min

max

$120000K

$180000K

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What You Should Know About Lead Machine Learning Engineer- Data, Visa

As a Lead Machine Learning Engineer- Data at Visa in Foster City, you will become a vital part of the Data and Artificial Intelligence Platform group, which plays a crucial role in the technology landscape of Visa. This position is all about empowerment—empowering you to use your expertise in Machine Learning and Data Engineering to drive innovation and create purpose-fit data solutions utilizing the latest technologies available. You will get to execute a comprehensive data strategy that leverages our unique data assets, paving the way for advanced processes like generating a synthetic data engine, particularly in cases where actual production data can’t be used. This role allows for the opportunity to guide and mentor a talented team of junior engineers, sharing your knowledge while ensuring that all our budding projects uphold the highest standards of security, scalability, performance, and reliability. Your contributions will resonate through the diverse and dynamic team around you, offering you a chance to tackle exciting challenges in a fun and collaborative environment. Here, at Visa, you're not just navigating the data landscape but leading the charge into uncharted territories of AI and decision intelligence, enhancing services for our clients. If you are passionate about transforming the data world and want to work alongside some of the most innovative minds in the industry, then this is the place for you. Our fast-growing team is waiting for your unique input—join us and be part of the data revolution!

Frequently Asked Questions (FAQs) for Lead Machine Learning Engineer- Data Role at Visa

What responsibilities do Lead Machine Learning Engineers at Visa have?

Lead Machine Learning Engineers at Visa are responsible for designing and architecting scalable data engineering platforms, which includes overseeing data pipelines, warehouses, and lakes. They handle the entire data lifecycle, ensuring transformation and analysis align with data strategy and business goals.