Machine Learning Engineer- Senior Consultant Level

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)