Sr. ML Engineer

Posted 22 Days Ago
Foster City, CA
In-Office
134K-201K Annually
Senior level
Fintech • Information Technology • Payments
Join a world leader in payments and technology!
The Role
The Sr. ML Engineer will build and enhance ML solutions for merchant data, using Python and SQL, and develop MLOps systems.
Summary Generated by Built In
Company Description

As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

Job Description

Visa Technology & Operations LLC, a Visa Inc. company, needs a Sr. ML Engineer (multiple openings) in Foster City, CA to:

  • Build machine learning solution for merchant data platform covering entity recognition and classification.
  • Help build machine learning solutions to enhance merchant data, discover insights, ensure data quality and power cross functional peers to unleash merchant data potential.
  • Use SQL, Python and basic libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebook to develop natural language and large language models.
  • Build MLOps and production machine learning systems at large scale, for example, writing model hosting cluster to support merchant machine learning platform.
  • Build ML infrastructure such as feature store, batch inference and model pipeline orchestration to power merchant machine learning solutions.
  • Conduct DevOps and CI/CD tooling and concepts such as docker and Jenkins to automate solutions.
  • Position reports to the Foster City, California office and may allow for partial telecommuting.

Qualifications

Basic Qualifications:

  • Master's degree in Machine Learning, Data Science, Analytics or related field and 2 years of experience in the job offered or in a Machine Learning or Data Science-related occupation.
  • Position requires experience in the following:
    • Python.
    • SQL.
    • Deep Learning.
    • Machine Learning.
    • Spark.
    • Big Data.

Additional Information

Worksite: Foster City, CA

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.

Travel Requirements: This position does not require travel.

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 $133,952.00 USD to $200,500.00 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.

Top Skills

Docker
Jenkins
Jupyter Notebook
Pandas
Python
Scikit-Learn
Spark
SQL
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The Company
HQ: San Francisco, CA
26,500 Employees
Year Founded: 1958

What We Do

At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. As our products and technology have evolved with the world, Visa remains ubiquitous, reaching new customers in new and often invisible ways. We are at the center of this digital revolution with a network that connects people with over 80 million businesses all over the world. And Visa’s network is expanding, accelerating our growth. Our resilient business model, with its strong track record of success, will provide you with amazing opportunities to grow in your career, as well.

We are looking for people like YOU. Come join a people-centric company where you can invest in your career.

For more information, visit visa.com/about, visacorporate.tumblr.com and @VisaNews on Twitter.

Why Work With Us

Our employees are our company. Creating an inclusive and diverse workplace has been our key priority. With our purpose to “uplift everyone, everywhere” as our guide, we’re building an environment where diverse backgrounds and perspectives are celebrated and drive success inside our company and out in our communities.

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