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Lead Machine Learning Engineer- Data - job 2 of 20

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

$140000 / YEARLY (est.)
min
max
$120000K
$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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

At Visa, we're looking for a passionate Lead Machine Learning Engineer- Data to join our amazing Data and Artificial Intelligence Platform group based in Foster City, California. This isn't just another tech job; it's an exciting opportunity to work at the forefront of data and AI innovation. As a vital member of our team, you’ll play a key role in crafting secure, high-quality data platforms while executing strategies that tap into our data assets to drive real-world innovation. You’ll be responsible for developing purpose-fit data solutions and pioneering a synthetic data engine, ensuring that we provide our clients with actionable insights while adhering to security and compliance standards. Your expertise will guide and mentor a dynamic team of junior engineers, promoting a culture of continuous learning and collaboration. We pride ourselves on an environment that encourages teamwork and fun, where innovative ideas are brought to life. If you’re excited about tackling complex data problems across an industry-leading scale and have a knack for building robust data engineering platforms, then this role is perfect for you! Join us at Visa and help shape the future of data and AI, while also enjoying the journey with some of the brightest minds in the field. Don’t miss this chance to thrive in a challenging yet rewarding position where your contributions will truly matter.

Frequently Asked Questions (FAQs) for Lead Machine Learning Engineer- Data Role at Visa
What responsibilities does the Lead Machine Learning Engineer- Data at Visa have?

The Lead Machine Learning Engineer- Data at Visa is responsible for designing and architecting robust, scalable data engineering platforms, overseeing the entire data lifecycle, and developing strategies around GenAI and Agentic AI technologies. They ensure compliance with data security, privacy, and governance regulations while guiding a high-performing data engineering and machine learning team.

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What qualifications are needed for the Lead Machine Learning Engineer- Data position at Visa?

To succeed as a Lead Machine Learning Engineer- Data at Visa, candidates should possess extensive experience in machine learning and data engineering, along with strong skills in developing data pipelines and data lakes. A robust understanding of data security, compliance regulations, and team leadership is also essential, as well as the ability to innovate with emerging technologies.

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What can I expect in terms of career growth as a Lead Machine Learning Engineer- Data at Visa?

Visa emphasizes innovation and continuous learning, which provides significant career growth opportunities for a Lead Machine Learning Engineer- Data. Working alongside top professionals in the field, you'll have the chance to stay at the cutting edge of data and AI technologies, enabling you to advance your skills and leadership capabilities.

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How does Visa encourage a collaborative environment for its Lead Machine Learning Engineers?

At Visa, the collaborative environment is fostered through teamwork, diversity of thought, and strong departmental leadership. The Lead Machine Learning Engineer- Data will engage in cross-functional partnerships and be part of a culture that values collective input, ensuring that everyone contributes to innovative solutions.

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What technologies will a Lead Machine Learning Engineer- Data work with at Visa?

As a Lead Machine Learning Engineer- Data at Visa, you'll work with cutting-edge technologies that enable data engineering and AI solutions, including machine learning algorithms, cloud-based data platforms, data warehouses, and synthetic data generation tools. Staying updated on emerging trends is also crucial in this role.

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Common Interview Questions for Lead Machine Learning Engineer- Data
Can you explain your experience with machine learning and data engineering?

When answering this question, focus on specific projects where you used machine learning techniques and data engineering practices. Discuss the tools you used, the challenges you faced, and how your contributions drove results.

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How do you approach developing a synthetic data engine?

Explain your strategies for synthetic data generation, emphasizing how you prioritize privacy and compliance. Discuss the methodologies you employ and any successful implementations or experiments you've conducted.

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What is your experience with cloud-based data platforms?

Describe your familiarity with popular cloud platforms such as AWS, Azure, or Google Cloud. Share examples of projects where you deployed data solutions on these platforms, focusing on scalability and performance.

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How do you ensure data security and compliance in your projects?

Talk about specific practices you implement for data security, including data encryption, access controls, and regular audits. Illustrate your understanding of relevant regulations and how you've managed compliance in previous roles.

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What are some challenges you’ve faced when overseeing data lifecycle processes?

Be honest about specific challenges such as data quality issues or integration problems. Discuss how you addressed these challenges and what impact your resolution had on the overall project.

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How do you foster a culture of innovation among your engineering teams?

Share methods you’ve used to encourage creativity, such as team workshops, hackathons, or brainstorming sessions. Highlight any initiatives you've led that resulted in innovative solutions or improved team dynamics.

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Describe a situation when you had to collaborate with business stakeholders.

Discuss a specific instance where you identified business needs and translated them into actionable data solutions. Emphasize your communication skills and how you aligned technical execution with business objectives.

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What trends in AI and data engineering are you currently following?

Talk about a few key trends inspiring your work, such as advancements in Generative AI or changes in data privacy regulations. Explain how you plan to integrate these trends into your future projects at Visa.

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How do you balance technical demands with team management in your role?

Explain your approach to time management and prioritization. Discuss how you delegate responsibilities while ensuring you stay involved in critical technical decisions.

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What motivates you to work in the field of data engineering and machine learning?

Share your passion for the field, personal anecdotes, or how specific projects have inspired you. Show your enthusiasm for solving complex problems and making a real impact through data.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
April 4, 2025

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