Machine Learning Engineer- Senior Consultant Level

Visa Technology and Operations LLC is hiring a senior-level Machine Learning Engineer for onsite work in Austin, TX.

Responsibilities

• Develop and program integrated software algorithms for product and systems applications in both structured and unstructured data environments
• Use machine language and statistical modeling techniques to improve product/system performance, quality, data management, and accuracy
• Perform rigorous validation to identify logical flaws using sound machine learning practices
• Translate algorithms and technical specifications into production code using current programming languages and technologies
• Design and implement methods for adaptive learning, model validation, A/B testing, and explainability 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

Preferred Qualifications

• 9+ years relevant work experience with a Bachelor Degree, or 7+ years with an Advanced Degree (e.g., Masters, MBA, JD, MD), or 3+ years with a PhD
• Bachelor’s Degree in Computer Science, Operations Research, Statistics, or another highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, or statistical/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 coursework in modeling techniques including logistic regression, Naïve Bayes, SVM, decision trees, or neural networks
• Experience with statistical tools such as SAS, R, KNIME, Matlab
• TensorFlow deep learning experience is a plus

Technology Stack

• 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

Compensation

• 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
• Eligible for bonus and equity (if applicable)

Benefits

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

Work Location and Logistics

• Location: Austin, TX
• Work arrangement: onsite
• Travel: 5-10% of the time
• Work hours: varies based on the needs of the department

Work Environment

• Office setting
• Sitting and standing at a desk
• Communicate in person and by telephone
• Frequently operate standard office equipment (telephones and computers)

U.S. applicants only.