Machine Learning Engineer- Senior Consultant Level

Visa Technology and Operations LLC; Austin (TX); On-site; USD 173,000 - 277,000; Full time

Benefits offered by this job

Medical benefits

Dental & Vision

401(k) plan

FSA/HSA

Life Insurance

PTO

Wellness program

Job summary

Visa Technology and Operations LLC is seeking an experienced Senior ML Engineer in Austin, TX to design and deploy machine learning systems that improve performance, accuracy, and data management. You will work with Rust, Python, Java, C++, and C# while advancing adaptive learning, model validation, and explainability.

Lead efforts across structured and unstructured data environments, validate models, and translate algorithms into production code.

Qualifications

• 8+ years of relevant work experience with a Bachelor Degree, or 5+ years with an Advanced Degree, or 2+ years with a PhD
• Experience developing and programming integrated software algorithms for structured and unstructured data environments
• Ability to program in one or more scripting languages such as Rust or Python, and one or more programming languages such as Java, C++, or C#
• Advanced Generative AI experience/usage

Responsibilities

• Develop and program integrated software algorithms for product and systems applications in structured and unstructured environments
• Use machine language and statistical modeling techniques to enhance performance, quality, data management, and accuracy
• Perform rigorous validation and detect logical flaws using established machine learning practices
• Translate algorithms and technical specifications into production code using current programming languages and technologies
• Design and implement adaptive learning approaches, including model validation and A/B testing
• Implement explainability methods to support understanding of model decisions

Skills

Structured data

Unstructured data

Rust

Python

Java

C++

C#

Generative AI

Machine Learning

Data management

Education

Bachelor's degree

Advanced degree

PhD

Tools

TensorFlow

SAS

R

KNIME

Matlab

ChatGPT

Microsoft Copilot

Job description

Join Visa Technology and Operations LLC to design and deliver machine learning systems that improve performance, accuracy, and data management.

Responsibilities

• Develop and program integrated software algorithms for product and systems applications in structured and unstructured environments
• Use machine language and statistical modeling techniques to enhance performance, quality, data management, and accuracy
• Perform rigorous validation and detect logical flaws using established machine learning practices
• Translate algorithms and technical specifications into production code using current programming languages and technologies
• Design and implement adaptive learning approaches, including model validation and A/B testing
• Implement explainability methods to support understanding of model decisions

Requirements

• 8+ years of relevant work experience with a Bachelor Degree, or 5+ years with an Advanced Degree (e.g., Masters, MBA, JD, MD), or 2+ years with a PhD
• Experience developing and programming integrated software algorithms for structured and unstructured data environments
• Ability to program in one or more scripting languages such as Rust or Python, and one or more programming languages such as Java, C++, or C#
• Advanced Generative AI experience/usage

Technologies

• Rust, Python, Java, C++, C#, ChatGPT, Microsoft Copilot
• TensorFlow, SAS, R, KNIME, Matlab
• Generative AI tools
• Decision trees, logistic regression, Bayesian analysis, Naïve Bayes, SVM, neural networks

Preferred Qualifications

• 9+ years relevant work experience with a Bachelor Degree, or 7+ years with an Advanced Degree, or 3+ years with a PhD
• Bachelor’s Degree in Computer Science, Operations Research, Statistics, or a highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, and statistical or mathematical analysis
• Experience applying statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and others
• Experience conducting rigorous validation and identifying logical flaws in machine learning solutions
• Experience translating algorithms and technical specifications into code using current programming languages and technologies
• Experience designing and implementing adaptive learning methods, model validation, and A/B testing
• Experience explaining model decisions and ensuring post-deployment integrity and accuracy
• Experience working with large datasets and modern big data and ML/AI technologies
• Experience with relevant coursework in modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks
• Experience with one or more statistical tools such as SAS, R, KNIME, or Matlab
• Deep learning experience with TensorFlow (plus)

Benefits

• Medical, Dental, Vision
• 401(k)
• FSA/HSA
• Life Insurance
• Paid Time Off
• Wellness Program

Location and Work Details

• Austin, TX
• Onsite
• Travel: 5–10%
• Work hours: varies based on department needs
• Work setting: office setting
• Physical/mental requirements: sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment (telephones, computers)

U.S. Applicant Information

• Estimated salary range: $173,000.00 to $276,900.00 USD per year (may include potential sales incentive payments, if applicable)
• Salary may vary based on job-related factors including knowledge, skills, experience, and location
• May be eligible for bonus and equity

Minimum Education

• Bachelor Degree (or Advanced Degree/PhD equivalent)