Senior Machine Learning Engineer - AI Platform
Company: Visa
Location: Austin
Posted on: May 6, 2025
Job Description:
Company DescriptionVisa 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 DescriptionReady 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 position is for a Senior Engineer with solid development
experience who will focus on creating new capabilities for Visa AI
as a Service while maturing our code base and development
processes. In this position, you are first a passionate and
talented developer that can work in a dynamic environment as a
member of Agile Scrum teams. Your strong technical leadership,
problem-solving abilities, coding, testing and debugging skills is
just a start. You must be dedicated to filling product backlog and
delivering production-ready code. You must be willing to go beyond
the routine and prepared to do a little bit of everything.This
position will be based in Austin, TX. If this sounds exciting, we
want to chat and tell you more about our work culture and
environment and see if this will be a good fit for both of
us.Essential Functions:
- Collaborate with project team members (Product Managers,
Architects, Analysts, Software Engineers, Project Managers, etc.)
to ensure development and implementation of new data driven
business solutions
- Drive development effort End-to-End for on-time delivery of
high quality solutions that conform to requirements, conform to the
architectural vision, and comply with all applicable standards
- Responsibilities span all phases of solution development
including collaborating with senior technical staff and PM to
identify, document, plan contingency, track and manage risks and
issues until all are resolved
- Present technical solutions, capabilities, considerations, and
features in business terms.
- Effectively communicate status, issues, and risks in a precise
and timely mannerThis 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.QualificationsBasic Qualifications:
- 2 or more years of work experience with a Bachelor's Degree or
an Advanced Degree (e.g. Masters, MBA, JD, MD).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).
- Exposure to leading-edge areas such as Machine Learning, Big
Data, Distributed Systems or SRE.
- Experience in at least one or two of the following: Rust,
Python, Java,Golang,or C/C++.
- Any experience with Flink, Spark, NoSQL or Kafka highly
preferred.
- Familiarity with web service standards and related patterns
(REST, gRPC).
- Open to experience with AWS, GCP, or Azure, preferably in an
AI/ML production environment.
- Open to experience withPrometheus, Grafana, Druid, ELK
Stack.
- Open to experiences with K8s or DevOps.
- Open to experience implementing solutions for low-latency,
distributed services using open standard technologies. e.g.
Streaming Systems, NoSQL and Containers.
- Open to hands-on experience with model inference engines such
as TensorFlow Serving, Triton, or other AI accelerators.Additional
InformationWork Hours: Varies upon the needs of the
department.Travel Requirements: This position requires travel5-10%
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.
Keywords: Visa, Pflugerville , Senior Machine Learning Engineer - AI Platform, Engineering , Austin, Texas
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