Intuit
Senior Machine Learning Engineer, Smart Money Services - Fraud & Financial Risk
$171K–$232K
Mountain View, California · Senior · Full-time · Posted Sep 29, 2026
- Experience
- 6+ years of experience.
- Education
- BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience.
About the job
Develops and deploys machine learning models and supporting services to detect and prevent fraud and financial risk across Intuit Money Movement events.
What you'll do
- Build, test, and deploy scalable data science models and maintain web services that orchestrate ML functions.
- Prepare data, engineer features, and build pipelines for training and deploying models with data scientists.
- Run A/B tests and statistical analyses, communicate model impact, and collaborate across product and engineering teams.
What they ask for
- 6+ years of experience.
- BS, MS, or PhD in Computer Science or a related field, or equivalent work experience.
- Knowledge of machine learning principles, data science tools and frameworks, SQL, and software engineering fundamentals.
- Experience with web services and API design, highly scalable software, GPU acceleration, and cloud technologies.
Nice to have
- Experience with object-oriented languages such as Scala, Python, or Java.
Pay
Mountain View: $171,000 - $231,500 USD base salary
Tools
Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R
AI focus
Build and deploy machine learning models and services to detect and prevent fraud and financial risk.
Model-written summary · the original posting is authoritative