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Lead Machine Learning Engineer- Data - job 13 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

$150000 / YEARLY (est.)
min
max
$120000K
$180000K

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 are on the lookout for a talented Lead Machine Learning Engineer- Data in Foster City to join our dynamic Data and Artificial Intelligence Platform group. This role is crucial for us as it provides the technology and processes to effectively manage Visa's vast data assets and deliver exceptional services to our customers. As a Lead Machine Learning Engineer, you'll have the exciting opportunity to spearhead innovative data solutions that leverage cutting-edge technologies in machine learning and data engineering. Your expertise will drive the development of a synthetic data engine and ensure a robust data strategy that fosters innovation in our AI and decision intelligence ecosystems. Not only will you oversee the entire data lifecycle, but you'll also lead a team of enthusiastic engineers, guiding them in creating secure, scalable solutions that add real value to our clients. Collaboration is at the heart of what we do, and you’ll be working alongside some of the brightest minds in the industry, ensuring that we remain at the forefront of data technology. If you’re eager to tackle exciting challenges while having fun in a supportive team environment, this is the perfect opportunity for you. So come aboard and make an impact as a Lead Machine Learning Engineer- Data at Visa!

Frequently Asked Questions (FAQs) for Lead Machine Learning Engineer- Data Role at Visa
What are the primary responsibilities of a Lead Machine Learning Engineer- Data at Visa?

As a Lead Machine Learning Engineer- Data at Visa, your responsibilities will include designing and architecting scalable data engineering platforms, overseeing the data lifecycle from acquisition to analysis, and developing innovative solutions including a synthetic data engine. You will also guide a talented team of engineers and liaise with business stakeholders to ensure that data solutions meet their strategic needs.

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

To qualify for the Lead Machine Learning Engineer- Data position at Visa, you will need a strong background in machine learning, data engineering, and experience with data platforms. A degree in computer science or a related field is preferred, along with proficiency in programming languages like Python or R. Experience in leading teams and familiarity with AI technologies is also essential.

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How does the Lead Machine Learning Engineer- Data role contribute to Visa's data strategy?

The Lead Machine Learning Engineer- Data plays a pivotal role in Visa's data strategy by developing and implementing innovative data engineering solutions that enhance data utilization and drive AI decisions. You will create scalable systems that ensure compliance while maximizing the value extracted from Visa's data assets, helping the company stay competitive in an ever-evolving market.

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What is the team culture like for the Lead Machine Learning Engineer- Data at Visa?

The team culture at Visa for the Lead Machine Learning Engineer- Data is built on collaboration, innovation, and continuous learning. You will work alongside diverse and talented individuals who are passionate about data and technology. The environment encourages teamwork and creativity, making it an enjoyable place to grow your career and tackle significant challenges in the data landscape.

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

In the Lead Machine Learning Engineer- Data position at Visa, you will work with a range of cutting-edge technologies, including advanced machine learning frameworks, cloud-based platforms, and data processing tools. You will leverage tools for building data pipelines, data lakes, and synthetic data engines, and will also champion the adoption of GenAI and Agentic AI technologies.

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Common Interview Questions for Lead Machine Learning Engineer- Data
Can you describe your experience with data pipelines as a Lead Machine Learning Engineer?

When answering this question, focus on specific projects where you've designed or managed data pipelines, discussing the technologies used, the challenges faced, and how you ensured scalability and efficiency. Highlight your ability to optimize data flows for analysis.

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How do you stay updated on the latest trends in machine learning and data engineering?

An effective answer should mention your commitment to continuous learning through resources like industry publications, conferences, online courses, and networking with peers. Emphasize your proactive approach to applying new knowledge in your work as a Lead Machine Learning Engineer.

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What strategies do you employ to ensure data security and compliance in your projects?

In your response, discuss specific strategies such as implementing data governance policies, conducting regular security audits, and keeping up with regulations. Highlight your experience leading teams in cultivating a security-conscious culture, which is crucial for any Lead Machine Learning Engineer.

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Describe a challenging machine learning problem you've worked on and how you approached it?

Share a clear example detailing the problem's context, your analytical approach, the algorithms used, and the results achieved. This will demonstrate your problem-solving skills relevant to the Lead Machine Learning Engineer role.

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How have you mentored junior engineers in your previous positions?

Provide examples of mentorship experiences, discussing how you foster knowledge sharing, skill development, and career growth among your team members. Emphasize the collaborative learning environment you create, showcasing your leadership as a Lead Machine Learning Engineer.

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What is your experience with synthetic data generation?

Discuss your hands-on experience with synthetic data generation, focusing on projects where you've developed or utilized this approach to protect user privacy or enhance data compliance. Include any technologies or methods you've employed to generate synthetic data effectively.

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How do you prioritize tasks when managing multiple data projects?

Explain your approach to task prioritization, including setting clear goals, assessing project urgency, and communicating with stakeholders. Highlight your organizational skills and flexibility in adapting to changing requirements as a Lead Machine Learning Engineer.

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What machine learning frameworks are you most comfortable with?

Detail your proficiency with various machine learning frameworks and libraries, clarifying which ones you have used extensively in your projects. Mention your ability to select the right tool for specific tasks, an essential skill for a Lead Machine Learning Engineer.

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How do you handle feedback and criticism on your data solutions?

Discuss your open-minded approach to feedback, emphasizing that you view it as an opportunity for growth and improvement. Share examples of how you have incorporated feedback into your work as a Lead Machine Learning Engineer to enhance solutions.

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Why do you want to work as a Lead Machine Learning Engineer at Visa?

Express genuine enthusiasm for the opportunity to contribute to a leading organization like Visa. Discuss your interest in working on impactful projects, the prospect of collaboration with talented teams, and your commitment to driving innovation in data solutions within the financial sector.

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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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DATE POSTED
April 3, 2025

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