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Senior Machine Learning Engineer - Cloud AI Platform

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Ready to make a global impact by industrializing AI?

Visa AI as a Service (AIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, AIaS powers and automates industrialization of data, models, and applications for predictive and generative AI. Combined with strong governance, AIaS optimizes the performance, scalability, interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, Visa AI as a Service is an ideal place for you!

This role is for a Sr. ML Engineer – Cloud AI Platform, with a strong development background, whose primary objective will be to extend our AI as a Service platform to the Public Cloud, Multi-Cloud, and On-Premises environments while enhancing and optimizing our existing codebase and development procedures, as well as developing new solutions. We are seeking a talented professional with a solid background in public cloud, multi-cloud, on-premises, and AI/ML production systems. This role offers ample opportunities for learning and growth, and the chance to be part of delivering the next big thing for our AI as Services team. 

If you are passionate about cloud technology, AI, and machine learning, and are excited about making a significant impact, we would love to hear from you.

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 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications:

  •  2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).

Preferred Qualifications:

  • 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
  • Development experience in Python.
  • Strong development experience in one or more the following programming languages: Go, Rust, Java.
  • Hands-on experience with model inference engines such as TensorFlow Serving, Triton, or other AI accelerators.
  • Experience with Kubernetes, Flink, SQS, Kafka is a plus.
  • Experience in building large scale distributed high performance system in payments or other domains.
  • 2 years of related experience with AWS, GCP, or Azure, preferably in an AI/ML production environment.

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 116,500.00 to 164,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Average salary estimate

$140500 / YEARLY (est.)
min
max
$116500K
$164500K

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 Senior Machine Learning Engineer - Cloud AI Platform, Visa

Are you ready to make a global impact with your skills as a Senior Machine Learning Engineer at Visa? Based in vibrant Austin, TX, this role invites you to be part of an innovative team centered around AI as a Service (AIaS). In this position, your main responsibility will be extending our AI capabilities to cloud platforms, optimizing existing infrastructures, and developing cutting-edge solutions. You'll get to dive into large-scale distributed systems, work on various programming languages like Python, Go, and Rust, and leverage your hands-on experience with AI model inference engines such as TensorFlow or Triton. If you are passionate about machine learning, cloud technology, and want to be a crucial part of transforming Visa's services, we want to hear from you! With a hybrid work model, you will enjoy the flexibility of both remote and in-office work, contributing to exciting projects that enhance our AI and decision intelligence. This is a fantastic opportunity to join a purpose-driven company making a significant impact in the payments industry, all while enjoying great growth potential and a collaborative team environment. So, if you're ready to bring your expertise and make a difference at Visa, don't hesitate to apply!

Frequently Asked Questions (FAQs) for Senior Machine Learning Engineer - Cloud AI Platform Role at Visa
What are the primary responsibilities of a Senior Machine Learning Engineer at Visa?

The Senior Machine Learning Engineer at Visa plays a critical role in enhancing the AI as a Service platform, focusing on extending its capabilities to the public cloud, multi-cloud, and on-premises environments. This includes optimizing existing codebases, developing new solutions, and ensuring the operational delivery of AI and decision intelligence to maintain business values.

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What qualifications are required for a Senior Machine Learning Engineer at Visa?

To qualify for the Senior Machine Learning Engineer position at Visa, candidates should have a minimum of 2 years of experience with a Bachelor's Degree or an Advanced Degree. Preferred qualifications include more than 3 years of experience, proficiency in programming languages such as Python, and hands-on experience with AI model inference engines like TensorFlow Serving or Triton.

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What programming languages should a Senior Machine Learning Engineer at Visa be proficient in?

A Senior Machine Learning Engineer at Visa should have strong development experience in Python and be familiar with at least one additional programming language, such as Go, Rust, or Java. These skills are critical for building effective AI models and optimizing cloud-based platforms.

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What kind of work environment can a Senior Machine Learning Engineer at Visa expect?

Visa offers a hybrid work environment for the Senior Machine Learning Engineer position, allowing employees to alternate between remote work and office presence. The expectation is to work in the office 2-3 set days a week, ensuring a balance that supports collaboration and innovation while respecting individual work preferences.

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What is the salary range for a Senior Machine Learning Engineer at Visa?

The estimated salary range for a Senior Machine Learning Engineer at Visa is between $116,500 and $164,500 annually, depending on skills, experience, and location. This position may also include eligibility for bonuses and equity, along with a comprehensive benefits package.

Join Rise to see the full answer
Common Interview Questions for Senior Machine Learning Engineer - Cloud AI Platform
Can you describe your experience with AI/ML production systems?

When responding to this question, be sure to highlight any specific projects that showcase your experience with deploying machine learning models in production environments. Discuss the technologies you've used, such as TensorFlow or Kubernetes, and how you’ve optimized model performance.

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How do you approach optimizing machine learning models?

In your answer, mention techniques you utilize to improve model performance, such as hyperparameter tuning, feature engineering, and utilizing scalable cloud resources. Providing concrete examples from your past experience will strengthen your response.

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Describe a challenging problem you solved using machine learning.

Share a specific problem where you applied machine learning effectively. Explain the context, the challenge, the solution you implemented, and the impact it created. Highlight your thought process and the technologies used.

Join Rise to see the full answer
What programming languages are you comfortable with, and how have you applied them?

Discuss your proficiency in programming languages relevant to the position, particularly Python and any experience with Go or Rust. Provide examples of projects where you've utilized these languages, emphasizing how they contributed to successful outcomes.

Join Rise to see the full answer
How familiar are you with cloud technologies and platforms?

Your response should reflect a strong understanding of cloud services, specifically AWS, GCP, or Azure, focusing on how you've integrated AI/ML into these environments. Mention specific tools and frameworks you have experience with.

Join Rise to see the full answer
Can you explain your experience with container orchestration tools like Kubernetes?

Share your hands-on experience with Kubernetes, detailing how you’ve used it to manage and scale machine learning workloads. Highlight any challenges you've faced and how you've overcome them.

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What strategies do you use to stay current with trends in machine learning?

Outline your strategies for keeping up with industry advancements, such as attending conferences, engaging with academic research, or participating in online communities. Mention any resources or publications that you directly follow.

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How do you ensure the quality and reliability of machine learning models?

Detail your approaches to testing and validating models, such as cross-validation techniques, A/B testing, and continuous monitoring. Emphasize the importance of these steps in delivering robust AI solutions.

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What role does collaboration play in your machine learning projects?

Elaborate on your experience collaborating with cross-functional teams, such as data engineers and product managers. Provide examples of how collaboration led to better project outcomes and solutions.

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What interests you most about working at Visa as a Senior Machine Learning Engineer?

Reflect on your motivations for wanting to join Visa, mentioning their mission in payment technology and innovation. Align your passions for AI and machine learning with Visa's objectives to create a meaningful impact in the industry.

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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
December 24, 2024

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