Senior Machine Learning Engineer - Cloud AI Platform

1 Week ago • 2-3 Years • Artificial Intelligence

About the job

Job Description

Visa's AI as a Service (AIaS) team seeks a Senior Machine Learning Engineer to expand their platform to public cloud, multi-cloud, and on-premises environments. This role involves enhancing existing code and development processes, building new solutions, and working with model inference engines like TensorFlow Serving and Triton. The ideal candidate possesses strong development skills in Python, Go, Rust, or Java, experience with Kubernetes and cloud platforms (AWS, GCP, Azure), and a passion for AI/ML in production systems. This hybrid role requires in-office presence 2-3 days per week.
Must have:
  • Python development experience
  • Experience with model inference engines
  • Public cloud experience (AWS, GCP, Azure)
  • Experience building large-scale systems
Good to have:
  • Go, Rust, or Java experience
  • Kubernetes, Flink, SQS, Kafka experience
Perks:
  • Comprehensive benefits package
  • Bonus and equity eligibility

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.

View Full Job Description
$116.5K - $164.5K/yr (Outscal est.)
$140.5K/yr avg.
Austin, Texas, United States

Add your resume

80%

Upload your resume, increase your shortlisting chances by 80%

About The Company

Ashburn, Virginia, United States (Hybrid)

Austin, Texas, United States (Hybrid)

Austin, Texas, United States (Hybrid)

Austin, Texas, United States (Hybrid)

Austin, Texas, United States (Hybrid)

Austin, Texas, United States (On_site)

Austin, Texas, United States (Hybrid)

Austin, Texas, United States (Hybrid)

View All Jobs

Get notified when new jobs are added by VISA

Similar Jobs

Meta - Production Engineer

Meta, United States (Remote)

Ello - Product Engineer (Mobile)

Ello, United States (On-Site)

ByteDance - Senior Software Engineer - Stability Platform

ByteDance, Singapore (On-Site)

Visa - Sr. Data Scientist

Visa, United States (Hybrid)

Whoop - Senior Software Engineer (Backend, Growth)

Whoop, United States (On-Site)

Warner Bros Discovery - Senior Machine Learning Engineer

Warner Bros Discovery, United States (On-Site)

CharacterAI - Staff Software Engineer, Applied ML

CharacterAI, Canada (On-Site)

Salesforce - AI Scientist

Salesforce, United States (On-Site)

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Get notifed when new similar jobs are uploaded

Jobs in Austin, Texas, United States

Varonis  - Technical Account Manager

Varonis , United States (Remote)

Microsoft - Principal Technical Program Manager

Microsoft, United States (Hybrid)

Trek - Sales Associate - Part Time

Trek, United States (On-Site)

Google - Senior New Business Account Executive

Google, United States (On-Site)

Intel Corporation - Cloud Systems and Solutions Engineer

Intel Corporation, United States (On-Site)

Postman - Senior Frontend Engineer, Flows

Postman, United States (On-Site)

Thatgamecompany - General - Art

Thatgamecompany, United States (Remote)

Get notifed when new similar jobs are uploaded

Artificial Intelligence Jobs

Rackspace Technology - Principal MLOPs Engineer

Rackspace Technology, United States (Remote)

Microsoft - Senior Data Science Manager

Microsoft, India (On-Site)

Zoox - Python Backend Engineer Internship/Co-op

Zoox, United States (On-Site)

Hudl - Staff Engineer - Machine Learning

Hudl, United Kingdom (Hybrid)

Blue Yonder - AI/ML Penetration Tester Consultant

Blue Yonder, India (On-Site)

Dolby Laboratories - Senior Computer Vision Researcher

Dolby Laboratories, India (Hybrid)

Honeywell - Lead Data Scientist-Vision AI

Honeywell, India (Hybrid)

Get notifed when new similar jobs are uploaded